Principal Applied Scientist, AWS Data Center Services

Description

Final date to receive applications:
Oct 27, 2026

The AWS Data Center Services team is hiring a Principal Applied Scientist to innovate and advance the science behind solutions to problems in the rapidly growing AWS data center space.

These problems range from bespoke computer vision models to support our physical infrastructure functions such as repair activities, to increasing the certainty of decisions made by our generative AI service without sacrificing latency or performance. For example, when a data center technician is triaging a critical electrical event at 2am and alarms cascade in seconds, our AI service has to cross-reference topology, live readings, maintenance history, and design documents within minutes - work that today takes an order of magnitude more time and intervention from a senior engineer.

As a Principal Applied Scientist, you will work backwards from these problems and partner with software development teams to deliver solutions. You will work on problems ranging from selecting, training and evolving computer vision models for targeted activities on AWS infrastructure inside our data centers; to building smart retrieval algorithms, reduce model hallucination on safety-critical outcomes, continually improve latency and performance, and ensure our generative AI service's knowledgeable stays current and the service is constantly getting smarter beyond just knowledge retrieval.

A day in the life

You start the morning reviewing traces from last night's incident triage. The agent correctly walked the topology to the upstream breaker but missed a recent maintenance change that was the real cause - so you design an experiment: does feeding work-order history into the traversal improve accuracy? You test it against historical incident data. Mid-morning, you review verification traces and catch the agent missing a spec deep in a submittal.

After lunch, a field engineer walks you through manually cross-referencing five systems during an incident and you turn their scenario into a new benchmark. In the afternoon, you prototype cross-discipline reasoning: when a cascade spans electrical and cooling, can the lead agent delegate scoped investigations and still hold one coherent hypothesis? You publish results and draft a paper. You own the full lifecycle - research through production deployment.

About the team

Data Center Services is part of AWS Infrastructure Services that owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Basic Qualifications

PhD in Machine Learning, Computer Vision, Statistics or in a highly quantitative field.

Strong Problem solving ability

Good skills in Python (or similar language)

Strong communication and data presentation skills

Proven track record of delivery

Preferred Qualifications

7+ years of industrial experience in predictive modeling and analysis,…