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Join Appier as a Senior Machine Learning Scientist specializing in Playable Ads, where your expertise in machine learning will drive innovative advertising solutions. You'll collaborate with cross-functional teams to develop and enhance algorithms that optimize user engagement and conversion rates. This is a fantastic opportunity to influence the future of digital marketing through advanced machine learning techniques.
Appier is a leading technology company that empowers businesses to make data-driven decisions through artificial intelligence. With a mission to simplify the complex world of digital marketing, Appier provides innovative solutions that enhance customer engagement and maximize ROI. Our multicultural teams work across various offices, including Taipei and Tokyo, fostering an environment of collaboration and creativity.
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Appier Inc.
Join Appier as a Machine Learning Scientist Intern and immerse yourself in the dynamic field of artificial intelligence. This internship offers you the chance to collaborate with a talented team, gain hands-on experience, and contribute to cutting-edge machine learning projects.
About Appier Appier is a pioneering software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making. Established in 2012, our vision is to democratize AI and transform it into measurable return on investment (ROI) by creating intelligent software solutions. With 17 offices spanning APAC, Europe, and the U.S., Appier is listed on the Tokyo Stock Exchange (Ticker number: 4180). For further insights, visit www.appier.com. About the Role As a Machine Learning Scientist at Appier, you will play a crucial role in advancing our research initiatives, focusing on real-world applications of our products. Key Responsibilities Employ machine learning and analytical techniques to create predictive models for advertising and enterprise solutions. Analyze and extract actionable insights from extensive business data sets. Design, develop, and validate advanced models to predict consumer behavior. Collaborate with software engineering teams to implement real-time models and develop new features. Create efficient, scalable, and automated processes for large-scale data analysis, model development, validation, and implementation. Research and evaluate innovative machine learning and statistical models. About You Minimum Qualifications: Master's or Ph.D. in Computer Science, Machine Learning, Mathematics, or Statistics with knowledge of probabilistic models. Strong experience in system design and programming, capable of working with big data with minimal engineering support. 3+ years of experience in data mining, algorithms, statistical analysis, computational NLP, and/or machine learning. Proven track record of solving complex challenges in academia and industry. Extensive publication portfolio. Self-motivated with the ability to prioritize multiple competing tasks in a rapidly growing environment. Possess meta-cognitive skills and a commitment to continuous learning. Ability to think and communicate with clarity and precision. Preferred Qualifications: Exceptional presentation skills to convey product ideas to both technical and non-technical audiences. #LI-AK1
Collaborate with diverse stakeholders to extract valuable insights from data using advanced statistical and machine learning methodologies.Utilize rapid experimentation and iterative exploratory data analysis to accelerate time to market.Partner with data infrastructure engineers to develop superior data systems and tools.Create clean, maintainable, and well-documented code to ensure quality and efficiency.Engage in a cross-functional team responsible for the entire software development lifecycle.Independently research relevant literature and disseminate your findings and knowledge to stakeholders.Work closely with other teams to design optimal software architecture solutions.
About Appier Appier is an innovative software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to facilitate informed business decision-making. Founded in 2012, Appier aims to democratize AI, transforming it into tangible returns on investment (ROI) by enhancing software intelligence. With 17 offices across the Asia-Pacific, Europe, and the United States, and its listing on the Tokyo Stock Exchange (Ticker number: 4180), Appier is at the forefront of AI advancements. For more details, visit www.appier.com. The Impact You’ll Make at Appier We are in search of a Senior Machine Learning Scientist to join our dynamic Advertising Cloud Optimization team, responsible for developing core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates on a vast scale, processing millions of queries per second (QPS) powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this position, you will assess ads incrementality across various traffic types, creatives, and user segments, while optimizing campaign efficiency through advanced machine learning models and AI automation. What You’ll Work On Utilize scientific methodologies to enhance ads measurement. Lead online experiments to continuously boost ad effectiveness. Independently manage project initiatives. Collaborate with product stakeholders, backend, and frontend teams to deliver measurement solutions for our clients. What We’re Looking For Master’s or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or a related discipline. 3+ years of industry experience in causal inference, incrementality, marketing mix modeling, or other measurement solutions within digital advertising, with a solid understanding of methodologies and their underlying assumptions. Proficiency in Python and SQL, along with experience in modern ML frameworks (e.g., PyTorch, TensorFlow). Demonstrated ownership and strong collaboration capabilities.
Join Appier as a Senior Machine Learning Scientist specializing in Playable Ads, where your expertise in machine learning will drive innovative advertising solutions. You'll collaborate with cross-functional teams to develop and enhance algorithms that optimize user engagement and conversion rates. This is a fantastic opportunity to influence the future of digital marketing through advanced machine learning techniques.
About Appier Appier is a pioneering software-as-a-service (SaaS) company dedicated to harnessing the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of making AI accessible to all, our mission is to transform AI into measurable ROI by developing intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Discover more at www.appier.com. About the Role We are seeking a Senior Machine Learning Scientist to join our Enterprise Solution Science Team. This dynamic team focuses on leveraging state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data. In this position, you will take charge of the entire development process, from defining problems to successfully deploying models into production. What You’ll Work On Engage in projects related to user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization. Collaborate with product teams to convert product objectives and business requirements into clearly defined ML problems during the planning phase. Partner closely with ML engineers for deploying models to production, ensuring their reliability and maintainability. Perform offline and online evaluations, monitor, and continuously optimize models post-deployment. Stay abreast of the latest research and proactively suggest innovative applications. Mentor junior scientists and contribute to the evolution of team culture and standards.
About Appier Appier is a pioneering software-as-a-service (SaaS) organization dedicated to leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Explore more at www.appier.com. Your Impact at Appier We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team spearheads the development of core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will play a vital part in boosting the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a fast-paced market environment. Key Responsibilities Design, implement, and launch cutting-edge ML models to optimize campaign outcomes. Analyze extensive user and auction data to uncover predictive patterns and alpha signals that improve bidding and personalization strategies. Work collaboratively with engineering, product, and data teams to identify opportunities, outline roadmaps, and deliver impactful solutions. Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). Qualifications Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s or PhD preferred. 4+ years of experience in ad tech, focusing on performance optimization. Demonstrated expertise in applied machine learning, particularly in CTR prediction and recommendation systems. Proficiency in Python and experience with relevant machine learning frameworks.
About Appier Appier is a cutting-edge software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the ambition of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., we are proud to be listed on the Tokyo Stock Exchange (Ticker number: 4180). For more details, please visit www.appier.com. Role Overview We are seeking an experienced Senior Machine Learning Scientist specializing in LLM to join our dynamic Enterprise Solution Science Team. This team is dedicated to employing advanced ML technologies to address real-world marketing challenges by integrating them with comprehensive omnichannel customer data. In this pivotal role, you will oversee the complete development lifecycle, from defining problems to implementing models in production. Key Responsibilities Engage with various LLM-related projects such as agents, chatbots, copilots, and retrieval-augmented generation (RAG) systems. Collaborate with product teams to translate business objectives into clearly defined ML challenges during the planning phase. Partner with ML engineers to ensure seamless deployment of models into production, with a focus on reliability and maintainability. Conduct thorough offline and online evaluations, continuous monitoring, and optimization of models post-deployment. Stay informed about the latest research developments and proactively suggest innovative ML applications. (Optional) Mentor junior scientists and contribute to the development of the team's culture and standards. Qualifications (Minimum) Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related discipline. 3+ years of experience in machine learning or engineering roles. Proven track record in building and deploying enterprise-grade LLM applications (e.g., intelligent agents). Familiarity with LLM evaluation methodologies, including hallucination detection and confidence scoring, emphasizing quantitative metrics and systematic benchmarking. Hands-on experience with complex reasoning, modular workflows (e.g., multi-component prompting, agent orchestration), and RAG pipelines. Demonstrated experience in cross-functional collaboration and leading industry-specific projects. A strong sense of impact, coupled with excellent analytical and problem-solving skills.
Join Appier as a Machine Learning Engineer Intern and gain hands-on experience in the exciting field of artificial intelligence. You will work alongside our talented engineering team to develop innovative machine learning models and algorithms that drive our products forward. This internship is an excellent opportunity to apply your academic knowledge in a real-world setting while learning from industry experts.
About Appier Appier is a cutting-edge software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with a commitment to democratizing AI, our mission is to transform AI into tangible ROI by developing intelligent software solutions. With a presence in 17 offices across APAC, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For further details, please visit www.appier.com. About the Role We are seeking talented Data Scientists to join our dynamic team in Taiwan. In this role, you will collaborate closely with Machine Learning Scientists, Engineers, and various product-focused roles to conduct data analytics aimed at fulfilling Appier’s product and business objectives. Key Responsibilities Lead initiatives and experimentation within the Ad Cloud product, enhancing real-time ad delivery efficiency in bidding scenarios. Assess and establish a framework for product and business metrics. Develop essential data sets and pipelines to support both operational and exploratory analysis. Generate data analysis reports to present insights and results through dashboards and documentation. About You [Minimum Qualifications] Over 5 years of industry experience in data analytics. Proficient in writing efficient Python scripts for data analysis and job automation. Strong statistical knowledge and the ability to use SQL for fundamental data extraction and aggregation. Familiarity with data visualization tools and methodologies.
The ASUS Robotics & AI Center is on the lookout for a highly skilled Senior Machine Learning Engineer to become an integral part of our global research and development team. This pivotal role focuses on spearheading the design and implementation of cutting-edge computer vision and perception systems for our next-generation autonomous platforms.We seek an experienced engineer with profound technical knowledge, sound engineering judgment, and a strong history of delivering production-ready machine learning systems in challenging real-world scenarios. The ideal candidate will be a mature, self-motivated contributor capable of influencing technical decisions, mentoring peers, and collaborating effectively within a multidisciplinary team.Lead the architecture and development of machine learning systems tailored for computer vision and perception tasks.Enhance models for optimal real-time performance on embedded and edge computing platforms.Create and maintain resilient perception pipelines that integrate data from cameras and various sensors.Assess and apply state-of-the-art methodologies in deep learning, object detection, and visual tracking.Guide technical decisions and offer insights on architecture, tools, and best practices within the team.Design and conduct experiments, including simulations and real-world field tests, to validate model performance.Manage and enhance datasets, pipelines, and tools to facilitate efficient model training and deployment.Collaborate with diverse teams, including robotics, systems, and software engineers, to deliver production-ready solutions.
We are seeking a talented Software Engineer specializing in Machine Learning Performance to join our innovative team at Waymo. In this role, you will contribute to enhancing the efficiency and effectiveness of our machine learning algorithms, ensuring optimal performance in real-world applications. This is an exciting opportunity to work at the forefront of technology and make a significant impact in the field of autonomous driving.
Join Waymo as a Software Engineer focused on Machine Learning Tooling, where you'll be instrumental in developing cutting-edge tools and technologies that enhance our machine learning processes. Collaborate with a talented team of engineers and researchers to build innovative solutions that drive the future of autonomous vehicles.
Company Introduction: Coupang is revolutionizing the shopping experience, aiming to delight customers from the moment they access the Coupang app until their orders are delivered. Our services in Taiwan include 'Rocket Delivery', which ensures next-day delivery for a vast selection of products at competitive prices, and 'Rocket Oversea', offering free international shipping on millions of bestsellers from Korea, the U.S., and more. We are eager to attract talented individuals to assist in driving Coupang's growth in Taiwan. This is an extraordinary opportunity to be a part of Coupang’s expansion and help create a world where customers think, 'How did I ever live without Coupang?' Role Overview: As a marketing data expert, you will analyze millions of data points, providing actionable insights for marketing managers and leadership to enhance customer experiences. Your work in marketing analytics will generate meaningful insights, address complex business questions, and support effective marketing campaigns. This role offers a unique chance to join a diverse, fast-paced, and dynamic team with significant growth potential. As a member of the Taiwan marketing team, which comprises individuals from around the globe, you will gain comprehensive insight into the aggressive expansion of an e-commerce business.
Join Binance, the world's leading blockchain ecosystem and the largest cryptocurrency exchange, where we empower over 300 million users in more than 100 countries. Our commitment to industry-leading security, transparency, and unparalleled liquidity creates a robust platform for our diverse digital asset offerings, ranging from trading and finance to education, research, payments, and innovative Web3 features. We harness the potential of blockchain technology to foster a more inclusive financial ecosystem, advancing the freedom of money and enhancing financial access globally.As a Senior Data Scientist at Binance, you'll harness extensive datasets (PB-level scalability) and advanced machine learning infrastructures to innovate data products that serve millions of cryptocurrency users. Collaborating with an exceptional team of engineers, data analysts, and product managers, you’ll define and develop impactful solutions, algorithms, and features driven by cutting-edge technology and rich data insights. To thrive in this role, you should be a quick learner with exceptional machine learning expertise and a proven track record of translating data insights into business impact. Strong communication skills are essential, as you will engage with cross-functional teams to address diverse data needs. This is an incredible opportunity to deepen your machine learning and data science knowledge while making significant contributions to the transformative world of blockchain and cryptocurrency.We are experiencing rapid growth and have multiple openings available, with a variety of exciting projects underway, including: - Analyzing user behavior and patterns for KYC, Anti-Money Laundering, and automated anomaly detection to enhance user safety and services.- Conducting blockchain-based data analysis to derive insights, predictions, and recommendations.- Developing personalized recommendation systems utilizing our vast datasets.
Company Overview: Coupang is revolutionizing the shopping experience with a mission to astonish every customer, from the moment they access the Coupang app until their order arrives at their doorstep. Our innovative services in Taiwan include 'Rocket Delivery,' providing next-day delivery on a vast range of products at competitive prices, and 'Rocket Oversea,' which offers complimentary international shipping on millions of best-selling items from Korea, the U.S., and other regions.We are eager to attract top talent to spearhead Coupang’s expansion in Taiwan. This is a unique opportunity to engage in Coupang’s growth journey and contribute to a world where our customers ponder, 'How did I ever live without Coupang?' Position Summary: As a Staff Data Scientist focusing on growth, you will analyze vast datasets, transforming tens of millions of data points into actionable insights for marketing managers and leadership. Your contributions will be pivotal in crafting remarkable experiences for our customers. Your role will involve deriving meaningful insights, addressing intricate business challenges, and facilitating effective marketing campaigns. This position offers an exceptional chance to join a diverse, dynamic team with significant opportunities for advancement. You will collaborate with the Taiwan marketing team, comprising members from various global backgrounds, gaining comprehensive exposure to the rapid expansion of an e-commerce business. Key Responsibilities: Collaborate with marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to drive data-informed decision-making.Develop machine learning models, including those for predicting customer churn, product sales, banner clicks, and campaign performance.Train and implement machine learning models on both on-premise and cloud platforms.Conduct thorough analyses of growth marketing metrics for customers and products to support impactful marketing strategies.Deliver clear, actionable recommendations for CRM promotions by scrutinizing user behavior data within the app.Execute hypothesis testing, A/B testing, and regression analysis on online advertisement effectiveness.Establish a robust data pipeline to guarantee data quality and accessibility.Present analytical findings compellingly to marketing leadership.Promote a culture of analytics as a member of a growing data team.
Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established as the Google Self-Driving Car Project in 2009, Waymo has been on a mission to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving autonomously for more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is leading the charge in this transformative industry.This position follows a hybrid work schedule and reports to the Tech Lead Manager of the Compute team.Your responsibilities will include:Designing and implementing complete stack solutions, including firmware, low-level drivers, and APIs for machine learning accelerator chips.Analyzing and optimizing firmware and driver performance for challenging AI workloads.Collaborating closely with hardware engineers throughout the ASIC design and verification phases.Creating efficient memory management solutions, including NUMA and IOMMU.
Join Binance, the world's foremost blockchain ecosystem powering the largest cryptocurrency exchange by trading volume and user base. Trusted by over 250 million users across more than 100 countries, we pride ourselves on industry-leading security, transparency in user funds, rapid trading engine performance, deep liquidity, and a comprehensive suite of digital asset products. Our offerings encompass trading, finance, education, research, payments, institutional services, Web3 features, and beyond. At Binance, we harness the potential of digital assets and blockchain technology to foster an inclusive financial ecosystem, promoting monetary freedom and enhancing financial access globally.We are on the lookout for an exceptional Lead Data Scientist with a focus on Large Language Models (LLMs) to join our innovative team. In this pivotal role, you will spearhead the optimization of customer service scheduling through advanced AI solutions. Your responsibilities will include researching and integrating state-of-the-art algorithms to enhance scheduling systems, utilizing your business acumen to amplify the efficacy of our AI products. The ideal candidate will develop and fine-tune LLMs to derive actionable insights, bolster business decision-making processes, and optimize prompt designs for enhanced accuracy. Furthermore, you will be tasked with creating scalable and robust LLM/RAG frameworks specifically tailored for customer service scheduling, driving innovation and ensuring we maintain our competitive advantage in the market.
Company Overview: Coupang is revolutionizing the shopping landscape, aiming to delight every customer from the moment they launch the Coupang app to when their order arrives at their doorstep. Our services in Taiwan feature 'Rocket Delivery,' which provides next-day delivery on a diverse range of items at competitive prices, and 'Rocket Oversea,' offering complimentary international shipping on millions of popular products sourced from Korea, the U.S., and beyond. We are on the lookout for talented individuals to spearhead Coupang's growth in Taiwan. This presents a unique opportunity to contribute to Coupang's expansion and help create a world where our customers ponder, 'How did I ever live without Coupang?' Role Summary: As a Staff Data Scientist focused on growth, your role will involve analyzing vast datasets to generate actionable insights for marketing managers and executives. Your contributions will play a pivotal role in crafting exceptional experiences for our customers. This position is an extraordinary chance to join a diverse, fast-paced, and dynamic team with significant growth potential. You will collaborate with the Taiwan marketing team, composed of members from around the globe, gaining a comprehensive view of our aggressive e-commerce expansion. Your Responsibilities: Work collaboratively with marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to drive data-informed decisions. Develop machine learning models, including those for customer churn, product sales, banner clicks, and sales from marketing campaigns. Train and deploy machine learning models on both in-house and cloud-based platforms. Conduct in-depth analyses on growth marketing metrics (customer and product) to enhance marketing campaign effectiveness. Analyze user behavior data in the app to provide clear, actionable recommendations for CRM promotions. Perform hypothesis testing, A/B testing, and regression analysis on online advertising performance. Establish a data pipeline to guarantee data quality and availability. Translate and communicate your data narratives to marketing leadership. Encourage an analytical culture within a growing data team.
About Appier Appier is a cutting-edge software-as-a-service (SaaS) firm leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the goal of democratizing AI, our mission is to convert AI into tangible ROI by crafting intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appier is proudly listed on the Tokyo Stock Exchange (Ticker number: 4180). For more details, visit www.appier.com. About the Role We are on the lookout for a Senior Software Engineer specializing in Machine Learning to join our Enterprise Solution Science Team. This dynamic team is dedicated to applying advanced ML technologies to real-world marketing challenges by integrating them with comprehensive omnichannel customer data. In this role, you will play a crucial part in bridging the divide between research and production by developing and refining scalable, high-performance ML infrastructure, including data pipelines, dashboards, and monitoring systems. Your Responsibilities Design and manage robust ML job execution frameworks for training, inference, and post-processing. Develop and sustain internal API servers and developer tools to coordinate ML jobs on Kubernetes (using Argo Workflows, Helm, Terraform). Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation. Design and oversee data infrastructure using PostgreSQL and other databases. Guarantee high availability and observability through monitoring tools such as Prometheus and Grafana. Create internal tools and services to streamline ML experimentation and production workflows. Collaborate closely with ML scientists to translate research outputs into user-friendly product features. Work in partnership with engineers, project managers, and other cross-functional teams to deliver superior AI products. Qualifications We Seek (Minimum Requirements) Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred). 3+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, including deploying enterprise-level ML systems (model serving, pipeline automation), integrating data sources, and building dashboards. Proficiency in at least one programming language such as Python, Java, or Scala.
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