Principal Applied Scientist, AWS Data Center Services
Amazon Data Services, Inc.· Cloud Infrastructure· Oct 22, 2026 · 6d ago
Seattle, Washington, USA
In office
Full-time
Principal
$199K–$269K
Job description
Application deadline: 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.
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
7+ years of industrial experience in predictive modeling and analysis, predictive software development
Experience in Generative AI
Publications or presentation in recognized Computer Vision, Machine Learning or Data Mining journals/conferences
Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
Experience working with retail or e-commerce data
Experience working with distributed systems and device level software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at amazon.jobs .
USA, CO, Denver - 198,900.00 - 269,000.00 USD annually
USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually
Application prep
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Keywords to mirror
awsaimachine learningpython
- Platform
- amazon
- Effort
- medium
Benefits
Benefits detected in the listing.
Health Insurance
Dental
Vision
401(K)
Paid Time Off
Parental Leave