About the job
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.
Responsibilities
* Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
* Apply software engineering best practices to ensure a high standard of quality for all team deliverables
* Work in an agile, startup-like development environment
* Deliver high-quality scientific artifacts
* Work with the team to help drive business decisions
Qualifications
Minimum
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
- Experience using Unix/Linux
- Experience in professional software development