Senior/Staff Systems Engineer at Gatik | Mountain View, CA

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.

Please complete the attached Internal Transfer Request Form and submit.Ensure that you apply using your Coupang email address.This role is open to both Mountain View and Seattle locations.At Coupang, we are dedicated to astonishing our customers. When we hear our customers exclaim, “How did we ever live without Coupang?” we know we are on the right track. Fueled by a commitment to simplify shopping, dining, and living, we are revolutionizing the multi-billion-dollar e-commerce sector from the ground up. As one of the fastest-growing e-commerce companies, we are seeking passionate individuals to join our innovative team.

Coupang is a leading name in South Korean e-commerce, known for dependable service and rapid innovation. With offices in Mountain View and Seattle, the company blends a startup’s drive with the backing of a global public organization. The culture supports both individual growth and strong teamwork. Initiative is valued at Coupang. Team members often launch new projects and play a direct role in shaping the company’s direction. Entrepreneurial thinking is encouraged, and those who drive improvements are recognized for their impact on both personal and company development. Coupang’s ambitions reach beyond standard commerce. The company regularly tackles challenging projects, always looking for new ways to improve technology and customer experience. Role overview The Senior Staff Backend Engineer will be part of the Application Infrastructure team. This group is responsible for building and enhancing complex workflow systems that power Coupang’s core services, including the rocket delivery platform. Their work supports systems that manage hundreds of millions of dollars in revenue. What you will do Design and develop a new, scalable workflow service from the ground up Make workflow development easier for domain teams Ensure the infrastructure can support growing business demands Help shape a critical system at the center of Coupang’s operations

Coupang is a global commerce business with a mission to simplify shopping, dining, and daily routines. The company brings together the energy of a startup with the scale and resources of a major public organization, supporting fast growth and frequent rollouts of new services. Teams at Coupang work with colleagues who are entrepreneurial and eager to launch new projects. The culture values ambition and encourages individuals to make a tangible difference in their roles. Coupang actively challenges industry standards and takes on complex challenges, aiming to redefine how people interact with commerce around the world.

About UsAt MAI (pronounced “my”), we are committed to revolutionizing advanced advertising technology. Our goal is to make state-of-the-art marketing tools, which were previously the domain of large corporations with extensive budgets, available to all businesses. Our innovative platform employs AI agents to streamline and enhance performance marketing, enabling small to medium-sized enterprises to grow their advertising budgets sustainably without the need for agencies or cumbersome manual campaign management.Founded by experienced professionals from leading ad platforms like Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth trajectory. This funding will be directed towards expanding our product and engineering teams, fulfilling our vision of intelligent and autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales while managing millions in monthly Google Ads expenditures. The demand for our services is growing, as evidenced by our rapidly expanding client waitlist.Why Join Us NowAs pioneers in this new frontier of autonomous, intelligent agents, we are charting our own course, and we invite you to be a part of it.As a Machine Learning Engineer at MAI, you will not merely be writing code; you will be a key architect in creating the ecosystem where our AI agents thrive, learn, and perform. Your contributions will significantly impact our entire technology stack—from the foundational data platforms that supply our agents to the core frameworks that enable intelligent reasoning, to the scalable systems that deliver their insights to our clients. This role presents an exceptional opportunity to develop a truly AI-driven product from the ground up and tackle challenges at the forefront of the industry.You will be part of a small, agile team of fewer than ten engineers, allowing you to make a substantial impact and influence the future direction of our company. We are in the early stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityYou will have the unique opportunity to develop your skills as these teams grow, leveraging your expertise while also embracing new challenges and learning from your peers to become a more well-rounded engineer.

About CreatifyCreatify is revolutionizing digital advertising by developing the world's first comprehensive AI-driven advertising platform. Our innovative technology automates the entire lifecycle of video ads, from scripting and avatar generation to rigorous testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In just 18 months, we've achieved over $10 million in Annual Recurring Revenue (ARR) and are proud to serve more than 1.5 million users from over 10,000 teams. Prestigious brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for creating personalized, high-performing video ads in just minutes.With $24 million raised from prominent Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures, we are positioned for rapid growth. Explore our recent features in Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising experts in Mountain View, and help us reshape the future of advertising through AI.

Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achieved over $10 million in annual recurring revenue (ARR) and have empowered more than 1.5 million users across 10,000+ teams. Our innovative platform is trusted by leading brands including Alibaba, HubSpot, and Binance to create personalized, high-impact video advertisements in mere minutes.With $24 million raised from prominent Silicon Valley investors such as WndrCo and Kindred Ventures, we are on a rapid growth trajectory. For insights on our recent achievements, check out our features in Fast Company, TechCrunch, and Bloomberg TV.Based in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us as we transform the advertising landscape with AI technologies.

Coupang is looking for a Staff Machine Learning Engineer in Mountain View to help strengthen its e-commerce platform. This position centers on applying advanced machine learning methods to improve both user experience and internal operations. Role overview The Staff Machine Learning Engineer will work closely with teams across the company to design, build, and launch machine learning models. These efforts aim to solve complex business challenges and support Coupang’s growth. Key responsibilities Develop and implement machine learning models that enhance system performance Collaborate with cross-functional groups to identify and address business needs Contribute to the deployment and ongoing improvement of machine learning solutions Location This role is based in Mountain View, USA.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.

Coupang is hiring a Senior Staff II, Machine Learning Engineer (Tech Lead) for the Search team in Mountain View, USA. This position centers on building and enhancing the core technology behind search for one of South Korea’s largest e-commerce platforms. Role overview This role focuses on designing, developing, and refining machine learning systems that directly impact how millions of people shop online. As a technical lead, expect to work on projects that shape the search experience and improve the accuracy and speed of results for Coupang’s customers. Team and culture Coupang encourages teams to launch new initiatives and solve complex problems. Employees regularly see the results of their work, both in personal growth and in the company’s progress. The culture blends the drive of a startup with the stability and resources of a global public company. What makes this role unique Work on technology that influences how millions shop online. Join a team that prioritizes innovation and ongoing improvement. Contribute to a company known for transforming e-commerce in South Korea. Experience the energy of a startup with the support of a global organization. This is a chance to help define the future of commerce as part of Coupang’s technology-driven Search team.

Coupang is a major force in South Korean e-commerce, focused on making daily life easier for millions of customers. The company combines the energy of a startup with the reach and stability of a global public business, supporting rapid innovation and new service launches. Team members value initiative, growth, and the opportunity to make a real impact. About the Role The Senior Staff Software Engineer - Security will play a central role in strengthening the security and reliability of Coupang’s core platforms. This position is based in Mountain View or Seattle. The work centers on technical leadership, architecture, and hands-on software development. The goal: build secure, dependable, and scalable systems that support Coupang’s growth and protect customer trust. What You Will Do Lead security architecture and design for backend systems Drive technical decisions that improve platform security, quality, and reliability Mentor and guide fellow engineers on security best practices Collaborate closely with product teams on high-impact projects Contribute directly to codebases, setting high standards for secure development What We’re Looking For Extensive experience in software engineering with a focus on security Strong background in building and scaling secure backend systems Proven ability to provide technical leadership and architectural direction Experience mentoring engineers and collaborating across teams Join Coupang to help shape the future of commerce and make a lasting difference in a high-tech, connected world.

About UsAt Aurora, our mission is to safely and swiftly deliver the advantages of self-driving technology to a broad audience.Explore the Aurora Driver—a groundbreaking initiative set to revolutionize mobility and logistics, ensuring a safer, more efficient, and inclusive future for everyone.Joining Aurora means tackling intricate challenges alongside passionate and intelligent professionals, allowing you to grow as an expert while broadening your skill set. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.At Aurora, we value diverse talent ready to contribute to a transformative transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and makes mobility more efficient and accessible for all. We are currently seeking a Staff Software Engineer for our Autonomy Data: Continuous Learning team. The ideal candidate will possess a deep interest in our models and datasets, utilizing cutting-edge foundation models alongside Reinforcement Learning from Human Feedback (RLHF) techniques to enhance model performance through high-quality data and construct the datasets that drive the Aurora Driver.Key Responsibilities:Enhance dataset quality by implementing semi-automated evaluation mechanisms utilizing advanced models and RLHF techniques.Broaden our foundational model strategy for identifying intriguing events across millions of miles.Oversee model training and inference pipelines for all core autonomy models.Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from conception to completion.

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.

About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Join Our Innovative Team and Help Shape the Future of Technology!Are you eager to tackle an exhilarating challenge in the development and maintenance of advanced infrastructure? At Kognitos, we're on the lookout for enthusiastic engineers like you to enhance our team and create a lasting impact.As a Staff Software Engineer, your key responsibilities will include:Building and sustaining our infrastructure leveraging Python and AWS Serverless technologies.Working collaboratively with cross-functional teams to design and deploy scalable, robust systems, including microservices and cloud-based architectures.Guaranteeing the reliability, scalability, and performance of our backend systems through proactive monitoring and optimization.Designing and managing database schemas and queries to support application features.Developing unit and integration tests to uphold code quality and reliability.Continuously refining our software development processes by integrating best practices and contemporary methodologies such as Agile, DevOps, and CI/CD.Diagnosing and resolving production issues to minimize downtime and ensure seamless operations.Engaging in architectural discussions and contributing to the formulation of technical solutions and best practices.Keeping abreast of the latest technologies and trends in software development to propose enhancements to our technology stack.

Join Moveworks as a Staff Machine Learning Engineer in the Agentic Systems team, where you will play a pivotal role in developing cutting-edge AI solutions to enhance user experiences. Your expertise will contribute to building intelligent systems that leverage machine learning to drive efficiency and innovation.As a key member of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that solve real-world problems. You will have the opportunity to work on exciting projects that push the boundaries of what’s possible with AI.

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.