Ilya Sergey

Applied Scientist

US, CA, Palo Alto

We are looking for a motivated Applied Scientist to join the team pioneering the next generation of agentic AI applications for Amazon advertisers. In this role, you will contribute to the design and development of agentic architectures, tools, and datasets that enable agents to reason, plan, and act autonomously across advertiser workflows. You will apply machine learning and large language model techniques—such as fine-tuning, reinforcement learning, and preference optimization—to solve real customer problems and improve advertiser outcomes at scale. You will work closely with senior scientists and engineers to experiment with new methods, run large-scale evaluations, and bring research ideas into production. You will be hands-on in implementing models, analyzing data, and building components that make our guidance agents more context-aware, reliable, and effective. Most importantly, you will work backwards from advertiser needs, contributing to customer-facing products that help advertisers create, optimize, and grow their campaigns. This is a highly collaborative and growth-oriented role, ideal for someone who thrives at the intersection of research and engineering, enjoys tackling ambiguous problems, and wants to shape the future of agent-based AI in advertising. Key job responsibilities - Contribute to the design and development of agents that guide advertisers across conversational and non-conversational experiences. - Implement and experiment with model and agent optimization techniques such as supervised fine-tuning and instruction tuning under the guidance of senior scientists. - Support dataset curation and tooling for model customization and preference optimization (e.g., MCP pipelines). - Build and maintain components of evaluation pipelines for agent workflows, including benchmark setup, automated test creation, and analysis of reasoning quality. - Prototype and validate elements of agentic architectures (e.g., CoT, ReAct, or ToT) to improve planning, reasoning, and tool use. - Conduct experiments, analyze performance, and communicate insights to drive iterative improvements to models and agents. - Collaborate with scientists, engineers, and product managers to integrate research outputs into production systems. - Stay current with emerging methods in LLMs, reinforcement learning, and agentic AI, and apply them to real-world advertiser scenarios. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon’s retail ecosystem. Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.

Sr. Applied Scientist, AMX Science

US, NY, New York

AMX Science's mission is to develop science that shapes human behavior in managing Amazon’s talent. We develop the core science for all Amazon-wide talent management and development experiences. Our multidisciplinary science team comprises of applied scientists, data scientists, economists and research scientists. We partner closely with product teams to build scalable science solutions that work backwards from internal customer problems for all of Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research. We are looking for an experienced AI/ML Applied Science Manager who has experience leading teams that build, apply and customize GenAI and traditional ML solutions to solve customer problems in production settings. Techniques we use on the team include NLP, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning, algorithmic fairness and others on rich and novel datasets. As a science manager on the team, you will lead a team of ML scientists to build AI/ML solutions to address talent management and development product needs. You will be a hands-on technical leader who excels at driving innovation, fostering a data-driven culture, and leading through ambiguity to deliver measurable impact. You will innovate in the fastest-moving fields of current AI applications, including AI agents and intersection of GenAI and traditional ML systems, such as recommendations, and get to immediately apply your results in highly visible internal Amazon products that have a significant impact on employees’ lives. You will work closely with customers, product and program managers, other engineering managers, and tech leads to understand and guide your teams to build the right solutions. You will develop science roadmaps, communicate your vision and milestones to leadership and to your collaborators in the People Experience and Technology space. If this kind of work excites you, reach out to us to find out more! About the team AMX Science is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.

Applied Scientist, Account Integrity

US, WA, Seattle

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team. The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation. Key job responsibilities Use statistical and machine learning techniques to create scalable risk management systems Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends Design, development and evaluation of highly innovative models for risk management Working closely with software engineering teams to drive real-time model implementations and new feature creations Working closely with operations staff to optimize risk management operations Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Tracking general business activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches.

Applied scientist, AWS Agentic AI, AWS Agentic AI

IL, Haifa

Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. Key job responsibilities We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. A day in the life - Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. - Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. - Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. - Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. - Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Sr. Applied Scientist, Creators, Creators

US, WA, Seattle

Are you a passionate Applied Scientist (AS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals. Key job responsibilities As an AS on our team, you will: Handle challenging problems that directly impact millions of creators and customers Independently collect and analyze data Develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the creators organization Key job responsibilities he successful candidate is a self-starter, comfortable with a dynamic, fast-paced environment, and able to think big while paying careful attention to detail. You have deep knowledge of an area/multiple areas of science, with a track record of applying this knowledge to deliver science solutions in a business setting and a demonstrated ability to operate at scale. You excel in a culture of invention and collaboration.

Amazon Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion Planning, Autonomous Mobile Robots, Computer Vision, Machine Learning, Controls, and more)

US, MA, North Reading

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and AI, computer vision technologies. The intern/co-op project(s) and the internship/co-op location are based on the team the student will be working on. Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, mobile robotics, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Data Scientist II, People eXperience & Technology Central Science (PXTCS)

US, NY, New York

Are you passionate about conducting research to develop and grow leaders? Would you like to impact more than 1M Amazonians globally and improve the employee experience? If so, you should consider joining the People eXperience & Technology Central Science (PXTCS) team. Our goal is to be best and most diverse workforce in the world. PXTCS uses science, research, and technology to optimize employee experience and performance across the full employee lifecycle, from first contact through exit. We use economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. This individual should be skilled in core data science tools and methods, icnluding SQL, a statistical software package (e.g., R, Python, or Stata), inferential statistics, and proficient in machine learning. This person should also have strong business acumen to navigate complex, ambiguous business challenges — they should be adept at asking the right questions, knowing what methodologies to use (and why), efficiently analyzing massive datasets, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). In order to move quickly, deliver high-quality results, and adapt to ever-evolving business priorities, effective communication skills in research fundamentals (e.g., research design, measurement, statistics) will also be a must. Major responsibilities will include: - Managing the full life cycle of large-scale research initiatives across multiple business segments that impact leaders in our organization (i.e., develop strategy, gather requirements, manage, and execute) - Serving as a subject matter expert on a wide variety of topics related to research design, measurement, analysis - Working with internal partners and external stakeholders to evaluate research initiatives that provide bottom-line ROI and incremental improvements over time - Collaborating with a cross-functional team that has expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, analytics, and policy evaluation - Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis - Writing high-quality, evidence-based documents that help provide insights to business leaders and gain buy-in - Sharing knowledge, advocating for innovative solutions, and mentoring others Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 1M employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust. Flexibility It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth We care about your career growth, too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it. About the team We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We leverage data and rigorous analysis to help Amazon attract, retain, and develop one of the world’s largest and most talented workforces.

Applied Scientist, Artificial General Intelligence

US, NY, New York

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.

Data Scientist I, Customer Delivery Excellence Science

US, WA, Bellevue

Join Amazon's Customer Delivery Experience (CDE) Science Team as an Data Scientist to revolutionize global logistics through revolutionary research and innovation. Our team combines advanced machine learning and transportation logistics to improve delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's core logistics teams, you will translate scientific innovations into practical solutions that drive meaningful improvements across our global fulfillment and delivery network. Key job responsibilities - Develop predictive algorithms to prevent delivery disruptions - Design machine learning systems for network-wide decision-making - Create mathematical models that optimize delivery speed, cost, and reliability - Implement generative AI solutions to enhance customer experiences - Produce research reports and contribute to peer-reviewed publications - Collaborate across teams to develop scalable, innovative solutions A day in the life Imagine a role where your analytical skills directly impact customer satisfaction. You'll dive into complex datasets, collaborate with cross-functional teams, and translate sophisticated research into practical logistics solutions. Your work bridges academic rigor with tangible business improvements, seeing your innovations come to life in real-time. About the team We are a dynamic, multidisciplinary group passionate about pushing the boundaries of supply chain science. Our team combines advanced analytics with operational excellence, creating innovative solutions that transform how millions of customers receive their packages. We value diverse perspectives and collaborative problem-solving, offering an environment where scientific creativity meets practical impact.

Applied Scientist, Central Machine Learning

IN, KA, Bengaluru

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.

Ilya Sergey

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