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Experience Level
Senior
Qualifications
QualificationsPhD or Master's degree in Computer Science, Data Science, or a related field. Strong background in AI, machine learning, and computational pathology. Proven experience in developing and implementing AI models and algorithms. Ability to work collaboratively in a fast-paced, multidisciplinary environment. Excellent problem-solving and communication skills.
About the job
Join Our Mission to Conquer Cancer Through AI
Lunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care.
Team Dynamics
You will collaborate with a dynamic team of AI research scientists and engineers within our Oncology AI Research Department, passionately pursuing meaningful applied research that impacts lives.
Our diverse team brings together various cultural backgrounds and expertise, fostering a culture of sharing and collaboration, whether through engineering, model-centric, or data-centric AI initiatives.
Position Highlights
Your contributions will directly influence our mission to enhance cancer treatment personalization, with our world-class software utilized in hospitals and pharmaceutical companies globally.
Engage in cutting-edge projects encompassing object detection, semantic segmentation, self-supervised learning, and more, leveraging extensive datasets and cloud computing capabilities.
Participate in community engagement through publications, blog posts, and public events like machine learning challenges.
Grow both personally and professionally by working on diverse projects and collaborating with a talented, multidisciplinary team.
Key Responsibilities
Design, propose, and implement advanced AI models that tackle real-world challenges in cancer diagnostics and treatment planning.
About Lunit
Lunit is at the forefront of medical AI innovation, committed to enhancing cancer treatment through intelligent software solutions. Our mission is to empower healthcare professionals with tools that improve patient outcomes and make a meaningful impact in the fight against cancer.
Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care.🗨️ Team DynamicsYou …
Lunit, based in Seoul, is a healthcare AI company dedicated to improving cancer diagnosis and treatment. The team creates AI tools that help clinicians make precise diagnoses and predict how patients will respond to therapies, with the goal of advancing personalized care. This role is open to candidates living in Korea who have business-level Korean proficiency. Team Overview The Biomedical Research Team (BMRS) is part of Lunit's Oncology Group. BMRS connects AI research with clinical practice by running exploratory and data-driven studies that test AI models in real-world settings. The team works closely with clinicians, product development, MLOps, and platform engineering to turn research into products that support patient care. Role Overview The Biomedical Research Scientist - Precision Oncology will focus on developing predictive models for Lunit's AI biomarker platform using patient tissue slide images. The position involves building metrics from digital pathology images, validating their clinical relevance, and contributing to translational research. Collaboration with clinicians, engineers, and product teams is central to ensuring research findings inform clinical decisions. Key Responsibilities Design, develop, implement, and evaluate image-based companion diagnostics biomarker models for personalized treatment decisions. Translate biological and clinical requirements into scalable machine learning and AI solutions in partnership with clinicians, engineers, and product teams. Lead experimental design and analysis, including idea generation, documentation, and reporting. Conduct clinical research to ensure validity and reproducibility of results. Present and publish research findings through abstracts, papers, and conferences. Required Qualifications Bachelor's degree in a relevant field with over 3 years of experience, or a Master's degree or higher in Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or a related area. Experience developing machine learning models and deploying them in production or research environments. Background in data integration, machine learning applications, and statistical analysis (including statistical tests and evaluation metrics). Proficiency in Python and machine learning frameworks, with the ability to develop data pipelines. Strong communication skills for effective collaboration across teams. Preferred Qualifications PhD in a related field (Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or similar). Research achievements in deep learning, machine learning, or applied statistical learning in biology, such as publications, open-source contributions, or product launches. Expertise in cancer genomics, spatial genomics, or multi-omics data analysis. Experience in cancer biology, immunology, digital pathology, or medical image analysis. At least 2 years of experience in computer vision or machine learning, or relevant research experience. Background in clinical research and applying complex machine learning techniques systematically. Experience integrating and analyzing large-scale or high-dimensional medical data. Strong problem-solving, planning, and project management skills. Application Materials Resume (any format) Portfolio (optional): Should outline objectives, execution details, personal contributions, and outcomes of research and development projects. Interview Process Document Screening Competency-based Interview 1 Competency-based Interview 2 Culture-fit Interview Onboarding Reference checks may be conducted after the final interview if needed. Working Conditions Employment type: Full-time Work location: Lunit Headquarters, 5th floor, Case Square Gangnam, 374 Gangnam-daero, Gangnam-gu, Seoul Salary: Determined after the interview Additional Information Providing false information in application documents may result in disqualification, even after hiring confirmation.
Coupang Logistics Services (CLS) is a subsidiary of Coupang specializing in end-to-end logistics across South Korea. The company manages parcel delivery, freight transport, cargo forwarding, warehousing, and cargo classification. CLS is recognized as a designated parcel transport provider by the Ministry of Land, Infrastructure and Transport. Its operations rely on dedicated sorting teams and professional delivery staff, called Coupang Friends, who support delivery camps throughout the country. This network is essential to the reliability of Coupang's Rocket Delivery service. CLS invests in logistics solutions to enhance customer satisfaction, drawing on operational expertise and the infrastructure supporting Rocket Delivery. The company focuses on continuous improvement and innovation within the logistics sector.
Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers such as Fei-Fei Li and Silvio Savarese. While our headquarters is in San Francisco, our significant presence in Seoul highlights our dedication to global innovation.Our strategic partnerships with NVIDIA and AWS provide us with access to top-tier hardware, including the B300s, which empower our advancement in video AI capabilities.We embrace the unique journeys of every individual and believe that our diverse backgrounds drive innovation. We seek passionate individuals who resonate with our mission and are eager to make impactful contributions as we redefine technology and transform the world of video understanding and multimodal AI.About the Video Cognition System TeamOur team is dedicated to creating the first-ever video cognition system capable of processing extensive video libraries into a structured, queryable Video Memory & Cortex for vertical LLM agents.We are addressing fundamental questions surrounding machine cognition, focusing on perception, memory, reasoning, and attention. Our goal is to design innovative memory structures that exceed traditional context windows and build a reasoning cortex for comprehensive video analysis.Our research endeavors cover corpus-level reasoning, knowledge extraction, indexing architectures, and multi-video understanding, requiring a synergistic collaboration between research and engineering to create systems that are both scientifically rigorous and impactful.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that can interpret videos with human-like understanding. Our groundbreaking models elevate the standards in video-language modeling, enabling intuitive interactions and comprehensive analyses of diverse media formats.With over $110 million secured in Seed and Series A funding, we are supported by leading venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are based in San Francisco, with a significant presence in Seoul, reflecting our dedication to global innovation.Our collaboration with NVIDIA and AWS grants us access to cutting-edge chips, including B300s, empowering us to expand the possibilities in video AI.We cherish the diverse journeys of our team members, believing that our varied cultural, educational, and life experiences are key to challenging the status quo. We seek passionate individuals eager to impact the technology landscape and help us redefine video understanding and multimodal AI.Team OverviewThe Embedding & Search team is integral to TwelveLabs' video understanding initiatives. We craft unified embedding spaces that encompass video, audio, text, and other modalities, and develop retrieval systems designed to deliver precise results that align with user intent across extensive video catalogs.Our research encompasses a wide array of challenges including multimodal representation learning via contrastive and probabilistic methods, temporal video understanding—focusing on hierarchical segmentation and boundary detection—neural ranking architectures for multi-stage retrieval, and modeling user behavior to gain insights into how users search for and engage with video content. We prioritize both algorithmic advancements that set new benchmarks and human-centric insights that enhance the utility of our systems.Our research team benefits from access to state-of-the-art chips like NVIDIA B300s, which accelerate our research-to-production transitions.
About UsAt Twelve Labs, we are at the forefront of pioneering advanced multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, granting us enhanced capabilities and transforming media interaction and analysis.With an impressive backing of over $110 million through Seed and Series A funding from esteemed venture capital entities such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, we are guided by influential AI leaders and founders, including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco and significant APAC presence in Seoul emphasize our dedication to global innovation.Our collaborations with NVIDIA and AWS grant us access to state-of-the-art chips, like the B300s, allowing us to expand the horizons of video AI.We celebrate the diversity of each individual’s journey, believing that the variances in our cultural, educational, and life experiences empower us to challenge conventional norms. We seek passionate individuals inspired by our mission to make a meaningful impact in the realm of technology. Join us in revolutionizing video understanding and multimodal AI.Team OverviewThe Pegasus team is integral to Twelve Labs’ video understanding initiatives, responsible for our flagship Video Analysis product. Our mission is to develop multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. We prioritize delivering products with tangible real-world impact and operate as a goal-driven, cross-functional team comprising both ML researchers and engineers.Our projects tackle a wide array of challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing temporal context lengths to several hours. We focus on data curation processes that enable aligned evaluation and performance improvements through enhanced training data.Our team is equipped with the world’s most advanced chips, including NVIDIA B300s, to expedite our research-to-production cycle, driving rapid advancements in video analysis systems.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that empower machines to understand videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our analytical capabilities and revolutionizing media interaction.With over $110 million raised in Seed and Series A funding, we are supported by leading venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside esteemed AI pioneers like Fei-Fei Li and Silvio Savarese. Headquartered in San Francisco, we also boast a significant presence in Seoul, reflecting our dedication to global innovation.Our strategic alliances with NVIDIA and AWS provide us access to state-of-the-art technology, including the B300 chips, enabling us to push the limits of video AI capabilities.We celebrate diversity and believe that the unique journeys of each individual contribute to our innovative culture. We are in search of passionate individuals who resonate with our mission and are eager to drive technological transformation. Join us in reshaping the future of video understanding and multimodal AI.Team OverviewThe Pegasus team is central to TwelveLabs' video comprehension capabilities, spearheading our Video Analysis product. We focus on creating advanced multimodal video analysis systems that excel in instruction adherence and yield complex, hierarchically structured outputs. Our mission is to deliver products with tangible real-world applications, working collaboratively across functional teams of ML researchers and engineers.Our initiatives encompass various challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, and robust metadata extraction for practical applications, extending temporal context to several hours, alongside data curation processes that enhance evaluation and performance through improved training data.Our team leverages cutting-edge hardware, such as NVIDIA B300s, to accelerate the transition from research to production, ensuring swift and effective deployment of our innovations.
Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, enhancing our capability to interact with and analyze diverse media formats.Backed by over $110 million in Seed and Series A funding from renowned venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as influential AI pioneers like Fei-Fei Li and Alexandr Wang, we are located in San Francisco and have a significant presence in APAC, particularly in Seoul, reinforcing our mission to drive global innovation.Our collaborations with NVIDIA and AWS provide access to state-of-the-art chips, such as the B300s, empowering us to push the frontiers of video AI.We embrace the individuality of each team member's journey, recognizing that our diverse cultural, educational, and life experiences fuel our ability to challenge the status quo. We seek passionate individuals aligned with our mission to make a meaningful impact as we advance technology to reshape the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is integral to TwelveLabs’ video understanding initiatives, leading the development of Pegasus, our Video Analysis product. Our aim is to create multimodal video analysis systems that excel in high instruction-following capabilities and deliver complex, hierarchically structured outputs. We prioritize the delivery of products that provide real-world value, collaborating in a goal-driven, cross-functional environment that unites ML researchers and engineers.Our responsibilities span a wide array of challenges, including large-scale distributed training of multi-modal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing training data for performance improvements.Our team leverages advanced chips, including NVIDIA B300s, to expedite our research-to-production transition, ensuring swift advancements in video analysis systems.
As a Senior Data Scientist, you will be instrumental in aligning our innovative AI solutions with the distinct requirements of our manufacturing clients. Your primary focus will be on spearheading the creation of cutting-edge AI applications that address intricate industry challenges, fostering innovation and boosting productivity.We are looking for an experienced data scientist adept at deriving meaningful insights from manufacturing data. Your responsibilities will encompass mining, interpreting, and analyzing customer data to unearth hidden opportunities and maximize its potential. Furthermore, you will engage directly with customers to understand their challenges and unique data characteristics. Through this close collaboration, you will design customized data models and tools tailored to their specific needs. Additionally, you will work alongside our cross-functional teams to conceptualize, design, and develop groundbreaking AI products for manufacturing by identifying new product features rooted in your understanding of customer data.Join a team of passionate innovators dedicated to transforming the future of manufacturing. Take the initiative in pioneering advanced AI projects that significantly affect real-world outcomes. Collaborate with a diverse and talented group of experts where your ideas will be highly valued, and your contributions will propel Gauss Labs towards becoming the global leader in industrial AI innovation.
The landscape of AI agents is rapidly evolving. While many companies are still determining their direction, we have a clear vision and are seeking a talented individual to help us realize it.About UsDelight.ai is dedicated to shaping the future of customer experience through AI. For over a decade, we have developed robust infrastructure for communication—covering chat, voice, video, and messaging APIs—establishing ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands, our platform processes an astonishing 7 billion messages each month, engaging 300 million active users.Our technology has powered customer interactions for industry giants such as DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. We excel in our field—truly excelling.Recognizing early on that AI would revolutionize business-customer communication, we understood that our decade of infrastructure would soon be commoditized. The real value would shift towards intelligence, enhancing customer experiences and driving outcomes.Faced with a choice to safeguard our existing achievements or evolve, we chose the path of transformation.In December 2024, we pivoted fully to an AI-first approach in customer experience. By February 2025, we had launched our enterprise AI agent, leveraging a decade’s worth of conversation data, now enhanced with advanced intelligence. In November 2025, we rebranded to Delight.ai.Our name encapsulates our mission. The true potential of AI lies not solely in efficiency or cost reduction, but in restoring to customers the invaluable feeling of being genuinely understood and valued. Not merely satisfied—delighted.Our ProductDelight.ai serves as the AI concierge for customer interactions. Unlike typical AI agents that forget users after a conversation ends, our solution builds lasting memory, learns preferences, and maintains context across all channels—whether it’s chat, SMS, email, voice, or WhatsApp—ensuring a seamless experience. Our goal is to create AI that makes customers feel acknowledged, appreciated, and remembered.Why We Need an Applied AI EngineerThe next evolution of AI extends beyond chatbots responding to FAQs. We are developing agents that can reason, retain information, and act proactively and accurately at scale. We need a skilled engineer to construct the underlying framework that will support this innovation.This role merges research with real-world application. You will harness the latest advancements in LLMs, RAG, and agentic systems to create features that enterprise clients rely on daily—not just prototypes, but fully deployed and scalable solutions. Additionally, you will be expected to leverage AI tools within your workflow, automating processes, connecting APIs, and utilizing agentic CLIs to enhance your output, achieving results that far exceed what any individual engineer could accomplish alone.
About AnthropicAt Anthropic, we strive to develop AI systems that are not only reliable and interpretable but also steerable, ensuring they are safe and beneficial for both our users and society. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders who collaborate to create transformative AI solutions.Your Role as a Product Engineer in Applied AIAs a technical Product Engineer on the Applied AI team, you will serve as a trusted advisor to clients implementing Claude. Your collaboration with customer product and engineering teams will be crucial as they develop and launch innovative products powered by Claude. You will offer guidance on architectural design, create evaluation frameworks, and facilitate the adoption of the latest implementation techniques for large language models (LLMs).Collaboration and SupportWorking in tandem with our Sales, Product, and Engineering teams, you will lead customers through technical discovery and ensure successful deployment. Your blend of engineering acumen and interpersonal skills will empower clients to unlock the potential of LLMs and devise solutions to complex business problems while upholding our commitment to safety and reliability.Key Responsibilities:Act as a technical consultant for Anthropic customers deploying new products and workflows using our models, overseeing their journey from initial discovery to deployment while coordinating across various internal teams to ensure customer success.Collaborate with account executives to gain a thorough understanding of customer product needs and design technical solutions that align with business goals.Provide guidance on architectural decisions, assisting customers in building cutting-edge products and workflows using LLMs through our API.Create tailored pilots, prototypes, and evaluation tools that demonstrate the advantages of integrating our models into customer workflows via our API.Conduct hands-on technical workshops and code reviews with customer engineering teams.Identify prevalent design patterns and share insights with our Product and Engineering teams.Maintain up-to-date knowledge of advancements in LLM capabilities, implementation strategies, and AI product development tools.Occasionally travel to client sites for workshops, implementation assistance, and relationship building.Participate in conferences, deliver presentations, and author blog posts and white papers on relevant AI topics.
*This position is exclusively available to candidates residing in South Korea.*About Euromonitor InternationalAs a global leader in market data analytics and research, Euromonitor International provides unparalleled insights and data on various markets, industries, economies, and consumer behaviors. Our comprehensive analysis serves thousands of products and services, making us the premier choice for organizations pursuing growth. With our expertise, clients can confidently make bold, strategic decisions.Role OverviewAs the Research Manager at our Seoul office, you will lead a talented team of analysts dedicated to delivering high-quality local insights and impactful client narratives. This role places a strong emphasis on effective team management, operational excellence, and promoting a collaborative work environment across various functions. You will act as a crucial link between your team and various departments, including Regional, Client Support, and Foundational Data teams, driving organizational goals and strategic initiatives.Key ResponsibilitiesTeam LeadershipMentorship and Development: Recruit, train, and mentor a diverse team of analysts, fostering professional growth and enhancing industry expertise and cross-functional collaboration.Performance Management: Conduct regular evaluations, provide constructive feedback, and recognize achievements to motivate high performance.Fostering Collaboration: Create a culture of teamwork, open communication, and accountability, ensuring close collaboration with Regional and Client Support teams. Project OversightStrategic Planning: Plan and prioritize multiple research projects, ensuring adherence to methodologies, deadlines, and quality standards.Monitoring and Delivery: Supervise research workflows, monitor progress, and proactively address potential issues to ensure projects are completed on time and meet high standards. Client Engagement and Relationship ManagementClient Interaction: Dedicate at least 20% of your time to leading client engagements for specific accounts, guiding your team in identifying opportunities to deepen client relationships and drive business growth.Client Concerns: Serve as the primary point of escalation for client issues, providing solutions and maintaining high levels of client satisfaction.Actionable Insights: Collaborate with the Client Support team to convert client queries into actionable opportunities, enhancing engagement and fostering mutual growth.
About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Our solutions cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture across three primary domains: tools and infrastructure, operating systems, and autonomy. The trust of 18 out of the top 20 global automakers, along with the United States military and its allies, underscores our commitment to delivering cutting-edge solutions. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we maintain a vibrant in-office culture, with the expectation that employees primarily work from our office five days a week. However, we understand that flexibility is vital, and we empower our employees to responsibly manage their schedules, which may include occasional remote work or adjusting hours to accommodate family commitments.About SeoulSince entering the Korean market in 2020, Applied Intuition has rapidly expanded and forged strategic partnerships with leading Korean automotive OEMs. Our Seoul office, located in Gangnam, boasts a team of over 10 talented individuals hailing from esteemed companies such as LG, Ansys, and Unity.About the RoleThe Global Account Manager plays a pivotal role in our senior sales team, responsible for nurturing, developing, and managing our business relationships with a targeted list of automotive and robotics organizations. This is a unique opportunity to collaborate across various teams locally and internationally.At Applied Intuition, You Will:Engage with both new and existing customers to illustrate how our infrastructure software tools and services can accelerate autonomous vehicle (AV) development.
About the Role tosscareers is looking for a Research Assistant in Seoul to help advance ongoing research projects. This position supports key research efforts with careful analysis and a strong focus on accuracy. What You Will Do Assist with research tasks and data collection Support project teams by organizing and analyzing information Contribute to the progress of active research initiatives Location Seoul
Join Us Without a Portfolio!If you have practical research experience in any domain, feel free to apply without a portfolio.How Tossplace UX Researchers WorkWe delve into real-world issues occurring in offline stores and conduct research to propose product strategies. Understanding the behaviors and contexts of both owners and customers is essential for creating effective products.As a UX Researcher, you'll work closely with the product team. Instead of merely executing research requests, you'll identify product issues and collaboratively drive strategic proposals.Engaging from the initial stages of product development, you'll derive insights necessary for prioritizing product features, moving beyond simple usability tests or satisfaction surveys. Our research process is designed to connect findings directly to actionable outcomes.At Tossplace, we tailor research methodologies to reflect the unique characteristics of offline store operations, continuously exploring various methods to address these.Responsibilities You'll Share with UsIdentify product issues in offline store environments and effectively communicate the voices of owners and customers to the team.Lead research efforts for hardware and software products, such as table orders, POS, and payment devices.Based on user feedback, suggest directions for product improvements and identify key areas for enhancement.Investigate user experiences through appropriate research methods including usability testing, in-depth interviews, focus group interviews, surveys, and field observations.Establish processes and provide training to enable diverse team members to hear directly from owners.Your ProfileHands-on experience in conducting UX research on practical projects is essential.You should be capable of selecting optimal research methodologies suited to various situations and effectively communicating research outcomes to guide product direction.Strong communication skills are necessary to collaborate smoothly with siloed teams and persuade stakeholders for product improvements.Experience or a solid understanding of enhancing user experiences with digital products (web, apps) or offline products is preferred.A desire to observe user behaviors firsthand, beyond just desk work, and uncover the essence of problems is highly valued.Experience in managing multiple research projects simultaneously in a fast-paced environment is a plus.Important NotesThis position allows for applications without a portfolio, so don't hesitate to apply even if you've faced challenges in portfolio creation.Please detail specific practical projects where you designed and conducted research aimed at improving user experiences through the 'Apply' button. Research projects or side projects are not suitable as application examples.Focus on outlining the process of defining project problems, setting hypotheses, designing and validating research, and deriving results. Sharing what you learned during this process is encouraged.Interviews will be conducted in-depth based on two examples you choose, independent of portfolio submission, and you will need to prepare separate presentation materials later.Your Journey to Joining TossplaceApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance and OnboardingA Message for Future Colleagues“Research for reports simply doesn’t exist here!”If you have experience as a researcher, this will resonate with you. The research conducted here focuses on real product improvement issues, allowing you to see how research outcomes are directly reflected in products.
Join Our Dynamic Team The UX Research Operations Manager will work collaboratively within the UX Research Team to establish a robust research environment and culture at Toss Place. Your focus will be on user recruitment, process optimization, the introduction and enhancement of research tools, and conducting research training to ensure that insights can be collected and utilized easily and effectively. Key Responsibilities Optimize internal research processes for efficient execution and continuously identify areas for improvement. Plan and enhance internal research tools and systems, introducing new tools or research programs as needed. Create and implement training programs to effectively teach research methodologies and practical applications within the organization. Establish a sharing process for insights to ensure they are meaningfully utilized and easily accessed within the organization. We Are Looking for Candidates Who Have experience defining and solving problems, along with creating or improving processes, even if they haven't specifically worked on research process improvement. Have utilized AI-based tools or features to enhance problem-solving or workflow improvement. Possess strong communication skills to collaborate effectively with multiple stakeholders. Have actively led planning and operations to drive the growth of offline products and services. Have experience in diagnosing and resolving problems to maximize business impact or expand services. Portfolio Recommendations We will review portfolios during the application process, so please ensure yours is included. Focus less on the results obtained and more on the thought processes, challenges faced, lessons learned, and any areas for improvement. If you have experience improving processes or establishing new guidelines to resolve inefficiencies, please include that. Detail instances where you proactively resolved conflicts among various stakeholders. Journey to Joining Toss Place Application submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding A Note for Potential Colleagues As the demand for UX research grows and the market matures, there is increasing interest in developing more efficient research processes...
About the Team You Will JoinThis team aims to automate and enhance banking operations such as document processing, identity verification, and customer consultations using AI technology.Our team comprises Data Scientists responsible for model development and enhancement, as well as engineers focused on service development. Together, we collaborate to implement various ML products.We work with diverse squad organizations involved in banking operations, creating products and services that leverage AI technology.As part of our dynamic team, you will collaborate with a variety of professionals, including Product Owners, designers, server developers, and frontend developers, managing AI products from inception to deployment.Your Responsibilities Will IncludeConducting model research, training, evaluation, and enhancement for computer vision projects, including OCR, ID forgery detection, and face verification.Defining problems necessary for project progress, establishing data-driven strategies, and continuously improving model performance.Assessing the technical validity and practicality of cutting-edge AI technologies such as LLM and VLM, and formulating implementation strategies.Identifying root causes of model performance issues and reflecting enhancement strategies to improve performance.Collaborating with ML Engineers and fellow Data Scientists to achieve project goals.We Are Looking For Individuals WhoHave experience developing the entire pipeline from modeling, data collection/preprocessing to system architecture design.Possess experience enhancing AI systems utilizing LLM, VLM, or Vision models.Have experience systematically tracking experiments or standardizing model implementation processes, with a focus on writing improved code.Have experience solving large and complex problems using AI technology, or developing services or products that create business impact.Have experience making strategic decisions based on technical judgments and experimental results, and disseminating these decisions within the organization.Resume RecommendationsPlease detail your experiences in solving complex problems based on technical depth and systemic thinking.Include specific metrics on how your role impacted technology/business within the team and organization.If you have end-to-end experience from model development to service application and operation, please highlight it.
Join our dynamic team at Toss Careers as a Research Assistant! In this role, you will engage in innovative research projects that drive our initiatives forward. Collaborate closely with cross-functional teams, analyze data, and present your findings to influence decision-making. We are looking for a motivated individual who is passionate about research and eager to learn.
Coupang is revolutionizing the e-commerce landscape, creating a seamless shopping experience that delights customers from the moment they open the Coupang app until their order arrives at their doorstep. Our robust end-to-end retail and logistics network, combined with our unwavering commitment to customer satisfaction, allows us to eliminate the traditional trade-offs between speed, selection, and price. We aim to make every customer feel as though they can't imagine life without Coupang.Join our Inbound Supply Chain Management System (SCMS) team, where we tackle complex challenges using cutting-edge technology.Determining the optimal product purchases from vendorsCalculating the ideal quantity of each product to acquireStrategizing inventory placement for the fastest delivery to customersOptimizing inventory levels at our fulfillment centers for cost efficiencyWe are looking for a Data Scientist with a strong command of various machine learning techniques. Your role will encompass developing, prototyping, and deploying innovative models across supervised, unsupervised, and reinforcement learning paradigms. We highly value innovative thinkers who can leverage generative AI to craft and implement groundbreaking solutions to unprecedented challenges.Key Responsibilities:Exhibit deep technical expertise in feature engineering of large datasets, conducting effective exploratory data analyses, and constructing models utilizing industry-standard AI/ML frameworks, including large language models.Demonstrate proficiency in both supervised techniques (e.g., Linear/Logistic Regression) and unsupervised algorithms (e.g., K-means clustering).Translate complex data into actionable business insights and marketing strategies.Collaborate with various internal stakeholders, including business and engineering teams, to align objectives with your area of concentration.Innovate by adopting novel modeling techniques and methodologies.Passionate about working with extensive datasets and skilled in merging data to address business queries.Expertise in developing and managing scalable data flow solutions that integrate seamlessly from production systems to end-user applications, ensuring robustness and adaptability.Utilize distributed machine learning and statistical algorithms to manage large volumes of data efficiently, enhancing customer service.
Who We AreTwelveLabs is at the forefront of developing cutting-edge multimodal foundation models that enable video understanding akin to human perception. Our models set new standards in video-language modeling, fundamentally transforming how various forms of media are understood and analyzed.Having raised a total of $107 million through Seed and Series A funding rounds, we are backed by leading venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with support from renowned experts and founders in the AI space like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco, we are establishing a strong presence across the APAC region from Seoul, spearheading global innovation.We are a global team that values unique experiences and backgrounds, believing that diverse cultural, educational, and life experiences allow us to continually redefine the ordinary and move toward better solutions. We seek individuals who resonate with TwelveLabs' mission, eager to expand the limits of technology and make a meaningful impact in the world.Join us in shaping the future of video understanding and multimodal AI.About the RoleThe ML/AI talent market in Korea is fiercely competitive on a global scale, and the caliber of talent we hire directly influences the success of TwelveLabs.This position is a key in-house Talent Researcher role within our Korean recruiting team, crucial for building and nurturing a strong pipeline of technical talent from the ground up.By leading the sourcing efforts for core ML positions and leveraging a deep understanding of the Korean AI talent landscape, you will help establish TwelveLabs as the employer of choice for top researchers and engineers.If you find fulfillment in discovering exceptional talent ahead of others and wish to work in an environment where your contributions have a direct impact on hiring outcomes, this position is a great fit for you.Note: This position is a fixed-term contract for one year.In This Role, You Will1. Targeted SourcingDevelop and execute proactive sourcing strategies focused on ML Engineers, ML Research Engineers, and Research Scientists, while also supporting critical GTM and product engineering positions important for our product roadmap.Utilize various channels, including professional networks, academic publications, open-source communities, and conferences, to identify and engage passive candidates.Collaborate with recruiters and hiring managers through weekly syncs to provide high-quality candidate shortlists.Assess candidates' technical backgrounds, research interests, and role fit through initial outreach and interviews.2. Talent Mapping & Market IntelligenceBuild and continuously update a dynamic Talent Map of the Korean ML/AI talent pool.Monitor talent trends among major tech companies, research institutions, and AI startups.Share market insights regarding talent supply, compensation levels, key skills, and pipeline statuses.Identify gaps in sourcing coverage and propose strategies to address them.3. Talent Community & Employer BrandingPlan and execute community activities such as research dinners, tech talks, conferences, and hackathons focused on ML/AI.Establish relationships with AI/ML communities, meetups, and industry networks.Build and maintain long-term talent relationships beyond immediate hiring needs.Enhance community engagement and employer branding through innovative initiatives.
Join Our Mission to Conquer Cancer Through AILunit, a leading medical AI software company dedicated to transforming cancer care through innovative AI solutions, is seeking a Senior Applied Research Scientist. Our technology aids in cancer detection and treatment outcome predictions, ensuring patients receive timely and personalized care.🗨️ Team DynamicsYou …
Lunit, based in Seoul, is a healthcare AI company dedicated to improving cancer diagnosis and treatment. The team creates AI tools that help clinicians make precise diagnoses and predict how patients will respond to therapies, with the goal of advancing personalized care. This role is open to candidates living in Korea who have business-level Korean proficiency. Team Overview The Biomedical Research Team (BMRS) is part of Lunit's Oncology Group. BMRS connects AI research with clinical practice by running exploratory and data-driven studies that test AI models in real-world settings. The team works closely with clinicians, product development, MLOps, and platform engineering to turn research into products that support patient care. Role Overview The Biomedical Research Scientist - Precision Oncology will focus on developing predictive models for Lunit's AI biomarker platform using patient tissue slide images. The position involves building metrics from digital pathology images, validating their clinical relevance, and contributing to translational research. Collaboration with clinicians, engineers, and product teams is central to ensuring research findings inform clinical decisions. Key Responsibilities Design, develop, implement, and evaluate image-based companion diagnostics biomarker models for personalized treatment decisions. Translate biological and clinical requirements into scalable machine learning and AI solutions in partnership with clinicians, engineers, and product teams. Lead experimental design and analysis, including idea generation, documentation, and reporting. Conduct clinical research to ensure validity and reproducibility of results. Present and publish research findings through abstracts, papers, and conferences. Required Qualifications Bachelor's degree in a relevant field with over 3 years of experience, or a Master's degree or higher in Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or a related area. Experience developing machine learning models and deploying them in production or research environments. Background in data integration, machine learning applications, and statistical analysis (including statistical tests and evaluation metrics). Proficiency in Python and machine learning frameworks, with the ability to develop data pipelines. Strong communication skills for effective collaboration across teams. Preferred Qualifications PhD in a related field (Bioinformatics, Computational Biology, Biomedical Science, Biomedical Engineering, Biology, Medicine, Computer Science, Statistics, or similar). Research achievements in deep learning, machine learning, or applied statistical learning in biology, such as publications, open-source contributions, or product launches. Expertise in cancer genomics, spatial genomics, or multi-omics data analysis. Experience in cancer biology, immunology, digital pathology, or medical image analysis. At least 2 years of experience in computer vision or machine learning, or relevant research experience. Background in clinical research and applying complex machine learning techniques systematically. Experience integrating and analyzing large-scale or high-dimensional medical data. Strong problem-solving, planning, and project management skills. Application Materials Resume (any format) Portfolio (optional): Should outline objectives, execution details, personal contributions, and outcomes of research and development projects. Interview Process Document Screening Competency-based Interview 1 Competency-based Interview 2 Culture-fit Interview Onboarding Reference checks may be conducted after the final interview if needed. Working Conditions Employment type: Full-time Work location: Lunit Headquarters, 5th floor, Case Square Gangnam, 374 Gangnam-daero, Gangnam-gu, Seoul Salary: Determined after the interview Additional Information Providing false information in application documents may result in disqualification, even after hiring confirmation.
Coupang Logistics Services (CLS) is a subsidiary of Coupang specializing in end-to-end logistics across South Korea. The company manages parcel delivery, freight transport, cargo forwarding, warehousing, and cargo classification. CLS is recognized as a designated parcel transport provider by the Ministry of Land, Infrastructure and Transport. Its operations rely on dedicated sorting teams and professional delivery staff, called Coupang Friends, who support delivery camps throughout the country. This network is essential to the reliability of Coupang's Rocket Delivery service. CLS invests in logistics solutions to enhance customer satisfaction, drawing on operational expertise and the infrastructure supporting Rocket Delivery. The company focuses on continuous improvement and innovation within the logistics sector.
Join Us at Twelve LabsAt Twelve Labs, we are at the forefront of developing revolutionary multimodal foundation models that interpret videos with human-like understanding. Our cutting-edge models have set new benchmarks in video-language modeling, enhancing our capabilities in analyzing and interacting with diverse media forms.Backed by over $110 million in Seed and Series A funding, we are supported by prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers such as Fei-Fei Li and Silvio Savarese. While our headquarters is in San Francisco, our significant presence in Seoul highlights our dedication to global innovation.Our strategic partnerships with NVIDIA and AWS provide us with access to top-tier hardware, including the B300s, which empower our advancement in video AI capabilities.We embrace the unique journeys of every individual and believe that our diverse backgrounds drive innovation. We seek passionate individuals who resonate with our mission and are eager to make impactful contributions as we redefine technology and transform the world of video understanding and multimodal AI.About the Video Cognition System TeamOur team is dedicated to creating the first-ever video cognition system capable of processing extensive video libraries into a structured, queryable Video Memory & Cortex for vertical LLM agents.We are addressing fundamental questions surrounding machine cognition, focusing on perception, memory, reasoning, and attention. Our goal is to design innovative memory structures that exceed traditional context windows and build a reasoning cortex for comprehensive video analysis.Our research endeavors cover corpus-level reasoning, knowledge extraction, indexing architectures, and multi-video understanding, requiring a synergistic collaboration between research and engineering to create systems that are both scientifically rigorous and impactful.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that can interpret videos with human-like understanding. Our groundbreaking models elevate the standards in video-language modeling, enabling intuitive interactions and comprehensive analyses of diverse media formats.With over $110 million secured in Seed and Series A funding, we are supported by leading venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, along with esteemed AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are based in San Francisco, with a significant presence in Seoul, reflecting our dedication to global innovation.Our collaboration with NVIDIA and AWS grants us access to cutting-edge chips, including B300s, empowering us to expand the possibilities in video AI.We cherish the diverse journeys of our team members, believing that our varied cultural, educational, and life experiences are key to challenging the status quo. We seek passionate individuals eager to impact the technology landscape and help us redefine video understanding and multimodal AI.Team OverviewThe Embedding & Search team is integral to TwelveLabs' video understanding initiatives. We craft unified embedding spaces that encompass video, audio, text, and other modalities, and develop retrieval systems designed to deliver precise results that align with user intent across extensive video catalogs.Our research encompasses a wide array of challenges including multimodal representation learning via contrastive and probabilistic methods, temporal video understanding—focusing on hierarchical segmentation and boundary detection—neural ranking architectures for multi-stage retrieval, and modeling user behavior to gain insights into how users search for and engage with video content. We prioritize both algorithmic advancements that set new benchmarks and human-centric insights that enhance the utility of our systems.Our research team benefits from access to state-of-the-art chips like NVIDIA B300s, which accelerate our research-to-production transitions.
About UsAt Twelve Labs, we are at the forefront of pioneering advanced multimodal foundation models that enable video comprehension akin to human understanding. Our innovative models have set new benchmarks in video-language modeling, granting us enhanced capabilities and transforming media interaction and analysis.With an impressive backing of over $110 million through Seed and Series A funding from esteemed venture capital entities such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, we are guided by influential AI leaders and founders, including Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco and significant APAC presence in Seoul emphasize our dedication to global innovation.Our collaborations with NVIDIA and AWS grant us access to state-of-the-art chips, like the B300s, allowing us to expand the horizons of video AI.We celebrate the diversity of each individual’s journey, believing that the variances in our cultural, educational, and life experiences empower us to challenge conventional norms. We seek passionate individuals inspired by our mission to make a meaningful impact in the realm of technology. Join us in revolutionizing video understanding and multimodal AI.Team OverviewThe Pegasus team is integral to Twelve Labs’ video understanding initiatives, responsible for our flagship Video Analysis product. Our mission is to develop multimodal video analysis systems that excel in instruction-following capabilities and generate complex, hierarchically structured outputs. We prioritize delivering products with tangible real-world impact and operate as a goal-driven, cross-functional team comprising both ML researchers and engineers.Our projects tackle a wide array of challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing temporal context lengths to several hours. We focus on data curation processes that enable aligned evaluation and performance improvements through enhanced training data.Our team is equipped with the world’s most advanced chips, including NVIDIA B300s, to expedite our research-to-production cycle, driving rapid advancements in video analysis systems.
About UsAt TwelveLabs, we are at the forefront of creating innovative multimodal foundation models that empower machines to understand videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our analytical capabilities and revolutionizing media interaction.With over $110 million raised in Seed and Series A funding, we are supported by leading venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside esteemed AI pioneers like Fei-Fei Li and Silvio Savarese. Headquartered in San Francisco, we also boast a significant presence in Seoul, reflecting our dedication to global innovation.Our strategic alliances with NVIDIA and AWS provide us access to state-of-the-art technology, including the B300 chips, enabling us to push the limits of video AI capabilities.We celebrate diversity and believe that the unique journeys of each individual contribute to our innovative culture. We are in search of passionate individuals who resonate with our mission and are eager to drive technological transformation. Join us in reshaping the future of video understanding and multimodal AI.Team OverviewThe Pegasus team is central to TwelveLabs' video comprehension capabilities, spearheading our Video Analysis product. We focus on creating advanced multimodal video analysis systems that excel in instruction adherence and yield complex, hierarchically structured outputs. Our mission is to deliver products with tangible real-world applications, working collaboratively across functional teams of ML researchers and engineers.Our initiatives encompass various challenges, including large-scale distributed training of multimodal LLMs, precise temporal segmentation, and robust metadata extraction for practical applications, extending temporal context to several hours, alongside data curation processes that enhance evaluation and performance through improved training data.Our team leverages cutting-edge hardware, such as NVIDIA B300s, to accelerate the transition from research to production, ensuring swift and effective deployment of our innovations.
Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, enhancing our capability to interact with and analyze diverse media formats.Backed by over $110 million in Seed and Series A funding from renowned venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as influential AI pioneers like Fei-Fei Li and Alexandr Wang, we are located in San Francisco and have a significant presence in APAC, particularly in Seoul, reinforcing our mission to drive global innovation.Our collaborations with NVIDIA and AWS provide access to state-of-the-art chips, such as the B300s, empowering us to push the frontiers of video AI.We embrace the individuality of each team member's journey, recognizing that our diverse cultural, educational, and life experiences fuel our ability to challenge the status quo. We seek passionate individuals aligned with our mission to make a meaningful impact as we advance technology to reshape the world. Join us in revolutionizing video understanding and multimodal AI.About the TeamThe Pegasus team is integral to TwelveLabs’ video understanding initiatives, leading the development of Pegasus, our Video Analysis product. Our aim is to create multimodal video analysis systems that excel in high instruction-following capabilities and deliver complex, hierarchically structured outputs. We prioritize the delivery of products that provide real-world value, collaborating in a goal-driven, cross-functional environment that unites ML researchers and engineers.Our responsibilities span a wide array of challenges, including large-scale distributed training of multi-modal LLMs, precise temporal segmentation, structured metadata extraction for practical applications, and enhancing training data for performance improvements.Our team leverages advanced chips, including NVIDIA B300s, to expedite our research-to-production transition, ensuring swift advancements in video analysis systems.
As a Senior Data Scientist, you will be instrumental in aligning our innovative AI solutions with the distinct requirements of our manufacturing clients. Your primary focus will be on spearheading the creation of cutting-edge AI applications that address intricate industry challenges, fostering innovation and boosting productivity.We are looking for an experienced data scientist adept at deriving meaningful insights from manufacturing data. Your responsibilities will encompass mining, interpreting, and analyzing customer data to unearth hidden opportunities and maximize its potential. Furthermore, you will engage directly with customers to understand their challenges and unique data characteristics. Through this close collaboration, you will design customized data models and tools tailored to their specific needs. Additionally, you will work alongside our cross-functional teams to conceptualize, design, and develop groundbreaking AI products for manufacturing by identifying new product features rooted in your understanding of customer data.Join a team of passionate innovators dedicated to transforming the future of manufacturing. Take the initiative in pioneering advanced AI projects that significantly affect real-world outcomes. Collaborate with a diverse and talented group of experts where your ideas will be highly valued, and your contributions will propel Gauss Labs towards becoming the global leader in industrial AI innovation.
The landscape of AI agents is rapidly evolving. While many companies are still determining their direction, we have a clear vision and are seeking a talented individual to help us realize it.About UsDelight.ai is dedicated to shaping the future of customer experience through AI. For over a decade, we have developed robust infrastructure for communication—covering chat, voice, video, and messaging APIs—establishing ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands, our platform processes an astonishing 7 billion messages each month, engaging 300 million active users.Our technology has powered customer interactions for industry giants such as DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. We excel in our field—truly excelling.Recognizing early on that AI would revolutionize business-customer communication, we understood that our decade of infrastructure would soon be commoditized. The real value would shift towards intelligence, enhancing customer experiences and driving outcomes.Faced with a choice to safeguard our existing achievements or evolve, we chose the path of transformation.In December 2024, we pivoted fully to an AI-first approach in customer experience. By February 2025, we had launched our enterprise AI agent, leveraging a decade’s worth of conversation data, now enhanced with advanced intelligence. In November 2025, we rebranded to Delight.ai.Our name encapsulates our mission. The true potential of AI lies not solely in efficiency or cost reduction, but in restoring to customers the invaluable feeling of being genuinely understood and valued. Not merely satisfied—delighted.Our ProductDelight.ai serves as the AI concierge for customer interactions. Unlike typical AI agents that forget users after a conversation ends, our solution builds lasting memory, learns preferences, and maintains context across all channels—whether it’s chat, SMS, email, voice, or WhatsApp—ensuring a seamless experience. Our goal is to create AI that makes customers feel acknowledged, appreciated, and remembered.Why We Need an Applied AI EngineerThe next evolution of AI extends beyond chatbots responding to FAQs. We are developing agents that can reason, retain information, and act proactively and accurately at scale. We need a skilled engineer to construct the underlying framework that will support this innovation.This role merges research with real-world application. You will harness the latest advancements in LLMs, RAG, and agentic systems to create features that enterprise clients rely on daily—not just prototypes, but fully deployed and scalable solutions. Additionally, you will be expected to leverage AI tools within your workflow, automating processes, connecting APIs, and utilizing agentic CLIs to enhance your output, achieving results that far exceed what any individual engineer could accomplish alone.
About AnthropicAt Anthropic, we strive to develop AI systems that are not only reliable and interpretable but also steerable, ensuring they are safe and beneficial for both our users and society. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders who collaborate to create transformative AI solutions.Your Role as a Product Engineer in Applied AIAs a technical Product Engineer on the Applied AI team, you will serve as a trusted advisor to clients implementing Claude. Your collaboration with customer product and engineering teams will be crucial as they develop and launch innovative products powered by Claude. You will offer guidance on architectural design, create evaluation frameworks, and facilitate the adoption of the latest implementation techniques for large language models (LLMs).Collaboration and SupportWorking in tandem with our Sales, Product, and Engineering teams, you will lead customers through technical discovery and ensure successful deployment. Your blend of engineering acumen and interpersonal skills will empower clients to unlock the potential of LLMs and devise solutions to complex business problems while upholding our commitment to safety and reliability.Key Responsibilities:Act as a technical consultant for Anthropic customers deploying new products and workflows using our models, overseeing their journey from initial discovery to deployment while coordinating across various internal teams to ensure customer success.Collaborate with account executives to gain a thorough understanding of customer product needs and design technical solutions that align with business goals.Provide guidance on architectural decisions, assisting customers in building cutting-edge products and workflows using LLMs through our API.Create tailored pilots, prototypes, and evaluation tools that demonstrate the advantages of integrating our models into customer workflows via our API.Conduct hands-on technical workshops and code reviews with customer engineering teams.Identify prevalent design patterns and share insights with our Product and Engineering teams.Maintain up-to-date knowledge of advancements in LLM capabilities, implementation strategies, and AI product development tools.Occasionally travel to client sites for workshops, implementation assistance, and relationship building.Participate in conferences, deliver presentations, and author blog posts and white papers on relevant AI topics.
*This position is exclusively available to candidates residing in South Korea.*About Euromonitor InternationalAs a global leader in market data analytics and research, Euromonitor International provides unparalleled insights and data on various markets, industries, economies, and consumer behaviors. Our comprehensive analysis serves thousands of products and services, making us the premier choice for organizations pursuing growth. With our expertise, clients can confidently make bold, strategic decisions.Role OverviewAs the Research Manager at our Seoul office, you will lead a talented team of analysts dedicated to delivering high-quality local insights and impactful client narratives. This role places a strong emphasis on effective team management, operational excellence, and promoting a collaborative work environment across various functions. You will act as a crucial link between your team and various departments, including Regional, Client Support, and Foundational Data teams, driving organizational goals and strategic initiatives.Key ResponsibilitiesTeam LeadershipMentorship and Development: Recruit, train, and mentor a diverse team of analysts, fostering professional growth and enhancing industry expertise and cross-functional collaboration.Performance Management: Conduct regular evaluations, provide constructive feedback, and recognize achievements to motivate high performance.Fostering Collaboration: Create a culture of teamwork, open communication, and accountability, ensuring close collaboration with Regional and Client Support teams. Project OversightStrategic Planning: Plan and prioritize multiple research projects, ensuring adherence to methodologies, deadlines, and quality standards.Monitoring and Delivery: Supervise research workflows, monitor progress, and proactively address potential issues to ensure projects are completed on time and meet high standards. Client Engagement and Relationship ManagementClient Interaction: Dedicate at least 20% of your time to leading client engagements for specific accounts, guiding your team in identifying opportunities to deepen client relationships and drive business growth.Client Concerns: Serve as the primary point of escalation for client issues, providing solutions and maintaining high levels of client satisfaction.Actionable Insights: Collaborate with the Client Support team to convert client queries into actionable opportunities, enhancing engagement and fostering mutual growth.
About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Our solutions cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture across three primary domains: tools and infrastructure, operating systems, and autonomy. The trust of 18 out of the top 20 global automakers, along with the United States military and its allies, underscores our commitment to delivering cutting-edge solutions. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we maintain a vibrant in-office culture, with the expectation that employees primarily work from our office five days a week. However, we understand that flexibility is vital, and we empower our employees to responsibly manage their schedules, which may include occasional remote work or adjusting hours to accommodate family commitments.About SeoulSince entering the Korean market in 2020, Applied Intuition has rapidly expanded and forged strategic partnerships with leading Korean automotive OEMs. Our Seoul office, located in Gangnam, boasts a team of over 10 talented individuals hailing from esteemed companies such as LG, Ansys, and Unity.About the RoleThe Global Account Manager plays a pivotal role in our senior sales team, responsible for nurturing, developing, and managing our business relationships with a targeted list of automotive and robotics organizations. This is a unique opportunity to collaborate across various teams locally and internationally.At Applied Intuition, You Will:Engage with both new and existing customers to illustrate how our infrastructure software tools and services can accelerate autonomous vehicle (AV) development.
About the Role tosscareers is looking for a Research Assistant in Seoul to help advance ongoing research projects. This position supports key research efforts with careful analysis and a strong focus on accuracy. What You Will Do Assist with research tasks and data collection Support project teams by organizing and analyzing information Contribute to the progress of active research initiatives Location Seoul
Join Us Without a Portfolio!If you have practical research experience in any domain, feel free to apply without a portfolio.How Tossplace UX Researchers WorkWe delve into real-world issues occurring in offline stores and conduct research to propose product strategies. Understanding the behaviors and contexts of both owners and customers is essential for creating effective products.As a UX Researcher, you'll work closely with the product team. Instead of merely executing research requests, you'll identify product issues and collaboratively drive strategic proposals.Engaging from the initial stages of product development, you'll derive insights necessary for prioritizing product features, moving beyond simple usability tests or satisfaction surveys. Our research process is designed to connect findings directly to actionable outcomes.At Tossplace, we tailor research methodologies to reflect the unique characteristics of offline store operations, continuously exploring various methods to address these.Responsibilities You'll Share with UsIdentify product issues in offline store environments and effectively communicate the voices of owners and customers to the team.Lead research efforts for hardware and software products, such as table orders, POS, and payment devices.Based on user feedback, suggest directions for product improvements and identify key areas for enhancement.Investigate user experiences through appropriate research methods including usability testing, in-depth interviews, focus group interviews, surveys, and field observations.Establish processes and provide training to enable diverse team members to hear directly from owners.Your ProfileHands-on experience in conducting UX research on practical projects is essential.You should be capable of selecting optimal research methodologies suited to various situations and effectively communicating research outcomes to guide product direction.Strong communication skills are necessary to collaborate smoothly with siloed teams and persuade stakeholders for product improvements.Experience or a solid understanding of enhancing user experiences with digital products (web, apps) or offline products is preferred.A desire to observe user behaviors firsthand, beyond just desk work, and uncover the essence of problems is highly valued.Experience in managing multiple research projects simultaneously in a fast-paced environment is a plus.Important NotesThis position allows for applications without a portfolio, so don't hesitate to apply even if you've faced challenges in portfolio creation.Please detail specific practical projects where you designed and conducted research aimed at improving user experiences through the 'Apply' button. Research projects or side projects are not suitable as application examples.Focus on outlining the process of defining project problems, setting hypotheses, designing and validating research, and deriving results. Sharing what you learned during this process is encouraged.Interviews will be conducted in-depth based on two examples you choose, independent of portfolio submission, and you will need to prepare separate presentation materials later.Your Journey to Joining TossplaceApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance and OnboardingA Message for Future Colleagues“Research for reports simply doesn’t exist here!”If you have experience as a researcher, this will resonate with you. The research conducted here focuses on real product improvement issues, allowing you to see how research outcomes are directly reflected in products.
Join Our Dynamic Team The UX Research Operations Manager will work collaboratively within the UX Research Team to establish a robust research environment and culture at Toss Place. Your focus will be on user recruitment, process optimization, the introduction and enhancement of research tools, and conducting research training to ensure that insights can be collected and utilized easily and effectively. Key Responsibilities Optimize internal research processes for efficient execution and continuously identify areas for improvement. Plan and enhance internal research tools and systems, introducing new tools or research programs as needed. Create and implement training programs to effectively teach research methodologies and practical applications within the organization. Establish a sharing process for insights to ensure they are meaningfully utilized and easily accessed within the organization. We Are Looking for Candidates Who Have experience defining and solving problems, along with creating or improving processes, even if they haven't specifically worked on research process improvement. Have utilized AI-based tools or features to enhance problem-solving or workflow improvement. Possess strong communication skills to collaborate effectively with multiple stakeholders. Have actively led planning and operations to drive the growth of offline products and services. Have experience in diagnosing and resolving problems to maximize business impact or expand services. Portfolio Recommendations We will review portfolios during the application process, so please ensure yours is included. Focus less on the results obtained and more on the thought processes, challenges faced, lessons learned, and any areas for improvement. If you have experience improving processes or establishing new guidelines to resolve inefficiencies, please include that. Detail instances where you proactively resolved conflicts among various stakeholders. Journey to Joining Toss Place Application submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding A Note for Potential Colleagues As the demand for UX research grows and the market matures, there is increasing interest in developing more efficient research processes...
About the Team You Will JoinThis team aims to automate and enhance banking operations such as document processing, identity verification, and customer consultations using AI technology.Our team comprises Data Scientists responsible for model development and enhancement, as well as engineers focused on service development. Together, we collaborate to implement various ML products.We work with diverse squad organizations involved in banking operations, creating products and services that leverage AI technology.As part of our dynamic team, you will collaborate with a variety of professionals, including Product Owners, designers, server developers, and frontend developers, managing AI products from inception to deployment.Your Responsibilities Will IncludeConducting model research, training, evaluation, and enhancement for computer vision projects, including OCR, ID forgery detection, and face verification.Defining problems necessary for project progress, establishing data-driven strategies, and continuously improving model performance.Assessing the technical validity and practicality of cutting-edge AI technologies such as LLM and VLM, and formulating implementation strategies.Identifying root causes of model performance issues and reflecting enhancement strategies to improve performance.Collaborating with ML Engineers and fellow Data Scientists to achieve project goals.We Are Looking For Individuals WhoHave experience developing the entire pipeline from modeling, data collection/preprocessing to system architecture design.Possess experience enhancing AI systems utilizing LLM, VLM, or Vision models.Have experience systematically tracking experiments or standardizing model implementation processes, with a focus on writing improved code.Have experience solving large and complex problems using AI technology, or developing services or products that create business impact.Have experience making strategic decisions based on technical judgments and experimental results, and disseminating these decisions within the organization.Resume RecommendationsPlease detail your experiences in solving complex problems based on technical depth and systemic thinking.Include specific metrics on how your role impacted technology/business within the team and organization.If you have end-to-end experience from model development to service application and operation, please highlight it.
Join our dynamic team at Toss Careers as a Research Assistant! In this role, you will engage in innovative research projects that drive our initiatives forward. Collaborate closely with cross-functional teams, analyze data, and present your findings to influence decision-making. We are looking for a motivated individual who is passionate about research and eager to learn.
Coupang is revolutionizing the e-commerce landscape, creating a seamless shopping experience that delights customers from the moment they open the Coupang app until their order arrives at their doorstep. Our robust end-to-end retail and logistics network, combined with our unwavering commitment to customer satisfaction, allows us to eliminate the traditional trade-offs between speed, selection, and price. We aim to make every customer feel as though they can't imagine life without Coupang.Join our Inbound Supply Chain Management System (SCMS) team, where we tackle complex challenges using cutting-edge technology.Determining the optimal product purchases from vendorsCalculating the ideal quantity of each product to acquireStrategizing inventory placement for the fastest delivery to customersOptimizing inventory levels at our fulfillment centers for cost efficiencyWe are looking for a Data Scientist with a strong command of various machine learning techniques. Your role will encompass developing, prototyping, and deploying innovative models across supervised, unsupervised, and reinforcement learning paradigms. We highly value innovative thinkers who can leverage generative AI to craft and implement groundbreaking solutions to unprecedented challenges.Key Responsibilities:Exhibit deep technical expertise in feature engineering of large datasets, conducting effective exploratory data analyses, and constructing models utilizing industry-standard AI/ML frameworks, including large language models.Demonstrate proficiency in both supervised techniques (e.g., Linear/Logistic Regression) and unsupervised algorithms (e.g., K-means clustering).Translate complex data into actionable business insights and marketing strategies.Collaborate with various internal stakeholders, including business and engineering teams, to align objectives with your area of concentration.Innovate by adopting novel modeling techniques and methodologies.Passionate about working with extensive datasets and skilled in merging data to address business queries.Expertise in developing and managing scalable data flow solutions that integrate seamlessly from production systems to end-user applications, ensuring robustness and adaptability.Utilize distributed machine learning and statistical algorithms to manage large volumes of data efficiently, enhancing customer service.
Who We AreTwelveLabs is at the forefront of developing cutting-edge multimodal foundation models that enable video understanding akin to human perception. Our models set new standards in video-language modeling, fundamentally transforming how various forms of media are understood and analyzed.Having raised a total of $107 million through Seed and Series A funding rounds, we are backed by leading venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with support from renowned experts and founders in the AI space like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco, we are establishing a strong presence across the APAC region from Seoul, spearheading global innovation.We are a global team that values unique experiences and backgrounds, believing that diverse cultural, educational, and life experiences allow us to continually redefine the ordinary and move toward better solutions. We seek individuals who resonate with TwelveLabs' mission, eager to expand the limits of technology and make a meaningful impact in the world.Join us in shaping the future of video understanding and multimodal AI.About the RoleThe ML/AI talent market in Korea is fiercely competitive on a global scale, and the caliber of talent we hire directly influences the success of TwelveLabs.This position is a key in-house Talent Researcher role within our Korean recruiting team, crucial for building and nurturing a strong pipeline of technical talent from the ground up.By leading the sourcing efforts for core ML positions and leveraging a deep understanding of the Korean AI talent landscape, you will help establish TwelveLabs as the employer of choice for top researchers and engineers.If you find fulfillment in discovering exceptional talent ahead of others and wish to work in an environment where your contributions have a direct impact on hiring outcomes, this position is a great fit for you.Note: This position is a fixed-term contract for one year.In This Role, You Will1. Targeted SourcingDevelop and execute proactive sourcing strategies focused on ML Engineers, ML Research Engineers, and Research Scientists, while also supporting critical GTM and product engineering positions important for our product roadmap.Utilize various channels, including professional networks, academic publications, open-source communities, and conferences, to identify and engage passive candidates.Collaborate with recruiters and hiring managers through weekly syncs to provide high-quality candidate shortlists.Assess candidates' technical backgrounds, research interests, and role fit through initial outreach and interviews.2. Talent Mapping & Market IntelligenceBuild and continuously update a dynamic Talent Map of the Korean ML/AI talent pool.Monitor talent trends among major tech companies, research institutions, and AI startups.Share market insights regarding talent supply, compensation levels, key skills, and pipeline statuses.Identify gaps in sourcing coverage and propose strategies to address them.3. Talent Community & Employer BrandingPlan and execute community activities such as research dinners, tech talks, conferences, and hackathons focused on ML/AI.Establish relationships with AI/ML communities, meetups, and industry networks.Build and maintain long-term talent relationships beyond immediate hiring needs.Enhance community engagement and employer branding through innovative initiatives.
