Senior Applied Scientist, AWS Quick

About the Role

Come join the AWS 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 give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world.

You will partner with technology and business teams to solve real‑world problems, have access to virtually endless data and computational resources, and world‑class engineers and developers that can help bring your ideas into the world.

We expect you to develop innovative solutions to hard problems and publish your findings at peer‑reviewed conferences and workshops.

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.

• Design and implement scalable, production‑grade neuro‑symbolic systems that integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers.
• Collaborate cross‑functionally with product, engineering, and science teams as well as external customers to deeply understand pain points, gather requirements, and translate them into neuro‑symbolic features that solve real‑world problems.
• Enhance and extend the capabilities of formal reasoning systems to meet the demands of GenAI and agentic applications — including areas such as hallucination detection, policy verification, and automated guardrails.
• Proactively identify and pursue new opportunities to apply formal reasoning solutions across AWS services and customer domains, driving adoption and expanding the impact of neuro‑symbolic approaches.
• Own the end‑to‑end science lifecycle — from research and experimentation through production deployment — defining metrics to measure system performance and the real‑world impact of neuro‑symbolic solutions.
• Mentor junior scientists and engineers, providing technical guidance, fostering a culture of scientific rigor, and raising the bar across the team.
• Advance the state of the art through publications at top‑tier venues, patents, or open‑source contributions, strengthening Amazon's position as a leader in automated reasoning and neuro‑symbolic AI.

• PhD, or Master's degree and 5+ years of applied research experience
• Experience programming in Java, C++, Python or related language

• Experience in formal verification, program analysis, constraint‑solving, symbolic execution, model checking, SAT/SMT solver implementation and applications, mechanical theorem and/or code‑reasoning languages such as Lean

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The base salary range for this position is USD  –  annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), 401(k) matching, paid time off, and parental leave.