Applied Scientist, Agentic Automated Reasoning Group

About the role

The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools—fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative.

Responsibilities

• Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
• Apply software engineering best practices to ensure a high standard of quality for all team deliverables
• Work in an agile, startup-like development environment
• Deliver high-quality scientific artifacts
• Support and scale your solutions to meet the ever-growing demand of customer use
• 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
• Foster a culture of scientific rigor and raise 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

Requirements

Basic Qualifications:

• PhD, or a Master's degree and experience in CS, CE, ML or related field research
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Preferred Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• Experience delivering results for large, cross-functional initiatives/projects
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience in communicating technically, at a level appropriate for the audience
• 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

Qualifications

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Skills

Experience delivering results for large, cross-functional initiatives/projects

Benefits

See provable security for more details.

Pay

Base salary range: $142,800.00 - $193,200.00 USD annually

Schedule

Full-time