Amazon-posted about 1 year ago
$150,400 - $260,000/Yr
Full-time • Senior
Bothell, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

The Senior Applied Scientist in the Automated Reasoning Group at Amazon Web Services (AWS) will focus on building scalable formal reasoning solutions that enhance customer experiences. This role involves applying knowledge in Automated Reasoning and Generative AI to develop tools and services, ensuring high-quality results in a fast-paced environment. The position requires collaboration with internal and external users to understand their needs and to drive the design and implementation of formal reasoning applications.

  • Lead the design and implement scalable systems for formal reasoning and automated theorem proving.
  • Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.
  • Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.
  • Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.
  • M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field.
  • At least 6 years of industrial/academic experience in interactive theorem proving, LLMs, and/or automated reasoning.
  • At least 6 years of experience with programming languages such as Rust, Python, C/C++, and open-source technologies.
  • At least 6 years of experience in design and analysis of algorithms and data structures.
  • Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field.
  • Deep understanding of formal methods, formal verification, solvers, constraint solving, and knowledge representation.
  • Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
  • Excellent written and verbal technical communication skills.
  • Experience in formal verification, program analysis, constraint-solving, symbolic execution, model checking, SAT/SMT solver implementation, and applications.
  • Experience working with Generative AI models, including prompt engineering and fine-tuning.
  • Comprehensive medical, financial, and other benefits package.
  • Equity and sign-on payments as part of total compensation.
  • Flexible working culture to support work-life balance.
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