Senior Applied Scientist, Shopping Core Foundations - BuyForMe
About The Position
We are building the next generation of autonomous AI agents that enable Amazon customers to seamlessly discover and purchase products across the open web. Our systems operate in highly dynamic real-world environments, navigating thousands of third-party merchant experiences with production-grade reliability, scalability, and safety. This role sits at the intersection of Agentic AI, LLMs, reinforcement learning, multimodal reasoning, and large-scale distributed systems. As an Applied Scientist, you will help define the science and architecture powering internet-scale web agents and autonomous purchasing systems.
Requirements
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Nice To Haves
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Responsibilities
- Work on autonomous AI agents operating in open-world environments rather than static benchmarks.
- Solve challenging research problems at the intersection of LLMs, web interaction, multimodal reasoning, and scalable systems.
- Influence products that directly impact millions of Amazon customers.
- Build systems that must generalize across thousands of constantly evolving third-party websites.
- Partner closely with science, engineering, and product leaders to shape the future of AI-powered shopping experiences.
- Have the opportunity to publish research, file patents, and contribute to Amazon-wide AI innovation.
- Design scalable evaluation and benchmarking systems for autonomous agents operating in dynamic web environments.
- Develop techniques for robust agent planning, error recovery, and adaptation under distribution shift.
- Build multimodal AI systems that reason over screenshots, DOM structures, user intent, and interaction trajectories.
- Lead scientific direction for agent reliability, task completion, and customer trust.
- Mentor scientists and engineers on advanced AI methodologies and experimentation.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
