Amazon.com Services LLC

Technology

Sr.AppliedScientist,AppliedAISolutions

$100–226k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Applied Scientist, Applied AI Solutions at Amazon.com Services LLC. Skills: Applied AI, Agent design, Machine learning. Partner with teams. Identify use cases”

What You'll Achieve.

Deliver high-impact agentic use cases

Industry & Context.

Technology
Problems you'll solve

Problem solver; Solving complex problems

What They're Looking For.

Must Have

3+ years building ML models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning, 5+ years applied research experience, PhD in CS, CE, or related, MSc + 10 years experience, BSc + 12 years experience

Nice to Have

Experience with R, Experience with scikit-learn, Experience with Spark MLLib, Experience with MxNet, Experience with Tensorflow, Experience with numpy, Experience with scipy, Experience with Hadoop, Experience with Spark

What You'll Do.

Define evaluation frameworks

Build trajectory-level evaluations

Detect reward-hacking

Implement human-in-the-loop review

Set technical direction

Represent science org

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Science org

Communication Scope

Communicate effectively

Process & Methodology

Roadmap planning, Architecture decisions

Full Job Description

The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon's operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed. Are you excited about pushing past single-turn chat into agents that run for hours or days, planning, recovering from failure, and accumulating knowledge as they work? Do you want to design the harnesses, memory systems, and context strategies that turn frontier models into reliablen collaborators on real business problems? Do you enjoy the prospect of solving agent problems that haven't been solved at scale anywhere before, including memory decay, belief revision, fact grounding, long-horizon credit assignment, and evaluation of open-ended trajectories? Along the way, you'll get opportunities to be a disruptor, innovator, and a problem solver, someone who truly enables AI agents to create significant impacts. Key job responsibilities You will partner with cross-functional business and engineering teams to identify and deliver high-impact agentic use cases across the Applied AI Solutions portfolio. You will design, develop, and evaluate long-running agents — including orchestration harnesses, memory architectures (episodic recall, semantic facts, revisable beliefs, principled decay), context compaction strategies, and safe, auditable tool and environment designs. You will define evaluation frameworks for agents whose outputs defy single-answer judgment, building trajectory-level evaluations, reward-hacking detection, and human-in-the-loop review patterns. As a senior scientist, you will set technical direction, mentor scientists and engineers, and represent the science org in roadmap and architecture decisions. You will ensure seamless deployment and int

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