Amazon Applied Scientist Automated Reasoning Group 

United States, Oregon, Portland 

963263190

The Automated Reasoning Group is looking for an Applied Scientist with experience in building Generative AI solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.As an Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.
* Apply software engineering best practices to ensure a high standard of quality for all team deliverables
* Work in an agile, startup-like development environment, where you are always working on the most important stuff
* Deliver high-quality scientific artifacts
* Work with the team on optimizations for prompt engineering and fine-tuning of LLMs
* Work with the team to lower the barrier of adoption for Automated Reasoning checks in Bedrock Guardrails
* Work with the team to help drive business decisions
Key job responsibilities
Why AWS
Utility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- At least 3 years of industrial/academic experience in formal verification, constraint-solving, and/or machine learning
- At least 3 years of experience with programming languages such as Java, Scala, C/C++, Ruby, or Python and open-source technologies
- At least 3 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 LLMs, formal methods, constraint solving, and knowledge representation
- Ability to address customer or business problems when a problem is ill-defined
- Ability to work in a fast paced and agile development environment
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
- Meets/exceeds Amazon’s leadership principles requirements for this role