Applied Scientist, AWS Quick

About the role

Join the AWS Agentic AI science team to build the next generation models for intelligent automation. AWS fosters the creation and growth of new businesses and provides access to vast data and computational resources. You will work with technology and business teams to solve real-world problems and publish your findings at peer-reviewed conferences and workshops.

Responsibilities

• Develop innovative solutions to hard problems using neural learning and symbolic/formal reasoning
• Implement new automated reasoning features employing scalable and efficient approaches
• Work in an agile, startup-like development environment
• Deliver high-quality scientific artifacts
• Collaborate with the team to help drive business decisions

Requirements

• 3+ years of building models for business applications
• 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
• Programming experience in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience in autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making

Skills

• Software engineering best practices
• High-quality artifact delivery
• Collaboration with technology and business teams
• Business decision driving

Benefits

Includes sign-on payments and RSUs. Final compensation is determined based on experience, qualifications, and location. Comprehensive benefits include medical, dental, vision, prescription, life insurance, EAP, mental health support, and more. Learn more at https://amazon.jobs/en/benefits.

Pay

Base salary range: $142,800.00 - $193,200.00 USD annually

Schedule

Flexible work schedule