Amazon
Applied Scientist, Automated Reasoning Group
Amazon, Seattle, Washington, us, 98127
Applied Scientist, Automated Reasoning Group
Job ID: 2814059 | Amazon Development Center U.S., Inc.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.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 to lower the barrier of adoption for interactive theorem provers.Work with the team to help drive business decisions.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds.BASIC QUALIFICATIONS
- Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field OR MS degree and 4+ years of industrial/academic experience in interactive theorem proving and/or automated reasoning.- 4+ years of experience with programming languages such as Rust, Python, C/C++, and open-source technologies.- 4+ years of experience in design and analysis of algorithms and data structures.PREFERRED QUALIFICATIONS
- Deep understanding of formal methods, formal verification, solvers, constraint solving, and knowledge representation.- Experience/interest in LLMs and/or generative AI.- Ability to work in a fast-paced and agile development environment.- 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.- Experience in formal verification, program analysis, constraint-solving, symbolic execution, model checking, SAT/SMT solver implementation and applications, mechanical theorem proving such as Lean, and/or code-reasoning languages such as Lean or Dafny.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2814059 | Amazon Development Center U.S., Inc.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.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 to lower the barrier of adoption for interactive theorem provers.Work with the team to help drive business decisions.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds.BASIC QUALIFICATIONS
- Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field OR MS degree and 4+ years of industrial/academic experience in interactive theorem proving and/or automated reasoning.- 4+ years of experience with programming languages such as Rust, Python, C/C++, and open-source technologies.- 4+ years of experience in design and analysis of algorithms and data structures.PREFERRED QUALIFICATIONS
- Deep understanding of formal methods, formal verification, solvers, constraint solving, and knowledge representation.- Experience/interest in LLMs and/or generative AI.- Ability to work in a fast-paced and agile development environment.- 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.- Experience in formal verification, program analysis, constraint-solving, symbolic execution, model checking, SAT/SMT solver implementation and applications, mechanical theorem proving such as Lean, and/or code-reasoning languages such as Lean or Dafny.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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