Amazon-posted about 1 year ago
$150,400 - $260,000/Yr
Full-time • Senior
Snoqualmie, 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 be responsible for developing scalable formal reasoning solutions that enhance customer experiences. This role involves applying expertise in Automated Reasoning and Generative AI to create software prototypes, implement production systems, and support the scaling of these solutions to meet customer demands. The position requires strong communication skills and the ability to deliver high-quality results in a fast-paced environment, contributing to the overall vision and roadmap of product features.

  • 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 package.
  • Flexible work-life balance initiatives.
  • Mentorship and career growth opportunities.
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