Amazon Web Services (AWS)
Posted 47 days agoVerified live 2d ago
Applied Scientist, AWS Quick
Brief overview
Remote
MastersOr in progress
$172k–$222k/yrStated range
3+ yrsMinimum
Autonomous AgentsAPI OrchestrationLarge Multimodal ModelsReinforcement LearningSequential Decision MakingMachine LearningPythonC++Algorithms and Data StructuresNumerical OptimizationParallel and Distributed Computing
Job description
Summary
Amazon Web Services (AWS) is a leading cloud services provider whose Agentic AI science team develops innovative research and technology for intelligent automation. The Applied Scientist will build next-generation models and automated reasoning features using neural learning and symbolic or formal reasoning, while collaborating with technology and business teams, producing scientific artifacts, and supporting business decisions.
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
Skills
- • 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
- • Experience using Unix/Linux
- • Experience in professional software development
Qualifications
Must Haves
- • 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
Nice to Haves
- • Experience using Unix/Linux
- • Experience in professional software development
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
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