Applied Scientist, Lean

DESCRIPTION

The Automated Reasoning Group is looking for an Applied Scientist with experience in building scalable formal reasoning 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.

Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See provable security .

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:

1. Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.
2. Apply software engineering best practices to ensure a high standard of quality for all team deliverables.
3. Work in an agile, startup-like development environment, where you are always working on the most important stuff.
4. Deliver high-quality scientific artifacts.
5. Work with the team to improve the mathematical and reasoning capabilities of large language models (LLMs).
6. Work with the team to lower the barrier of adoption for interactive theorem provers.
7. Work with the team to help drive business decisions.

Key job responsibilities

1. Design and implement scalable systems for formal reasoning and automated theorem proving.
2. Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.
3. Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.
4. Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.

About the team
The AWS Lean team is a talented group of scientists from around the world. Their areas of expertise include interactive theorem proving, generative AI, SAT/SMT solvers, and programming language theory.

BASIC QUALIFICATIONS

1. M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field.
2. At least 5 years of industrial/academic experience in interactive theorem proving, LLMs, and/or automated reasoning.
3. At least 5 years of experience with programming languages such as Lean, Rust, Python, C/C++, and open-source technologies.
4. At least 5 years of experience in design and analysis of algorithms and data structures.

PREFERRED QUALIFICATIONS

1. Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field.
2. Deep understanding of formal methods, formal verification, constraint solving, and knowledge representation.
3. Ability to address customer or business problems when a problem is ill-defined.
4. Ability to work in a fast-paced and agile development environment.
5. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
6. 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.
7. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
8. Meets/exceeds Amazon's leadership principles requirements for this role.

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