Applied Scientist, AWS Agentic AI Science

Amazon.com • Seattle, WA

112d • $136,000 - $223,400

About The Position

We are looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning. You will be part of a team building the next generation of AI agents for software builders. The team continuously pushes the frontier of agentic AI capabilities throughout the entire software development life-cycle. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you. As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs. You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.

Requirements

• 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 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

Responsibilities

• Understand the challenges that developers face when building software today, and develop generalizable solutions.
• Collaborate with developers and pave the way towards bringing your solution into production systems.
• Lead cross team projects and ensure technical blockers are resolved.
• Communicate and document your research via publishing papers in external scientific venues.

Benefits

• Equity
• Sign-on payments
• Medical benefits
• Financial benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: General Merchandise Retailers
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees