ML Scientist for Data Center Power Optimization

Amazon; Herndon (VA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs / sign-on payments

401(k) matching

Paid time off

Job summary

Amazon is seeking an Applied Scientist to build ML models that optimize power and thermal infrastructure for AWS data centers. You will collaborate with scientists, data engineers, and software teams to model, evaluate, and deploy solutions that drive cost savings and reliability.

You will probe data quality, defend against biases, publish results, and translate complex research into production code, with a strong focus on stakeholder impact and scalable systems.

Qualifications

• Master's degree.
• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience building machine learning models or developing algorithms for business application.
• Experience implementing algorithms using toolkits and self-developed code.
• Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.

Responsibilities

• Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
• Disambiguate problems to propose clear evaluation frameworks and success criteria
• Work autonomously and write high quality technical documents
• Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
• Work closely with other scientists to deliver impactful customer solutions
• Share and publish works with the broader scientific community through meetings and conferences
• Communicate clearly to scientific audiences

Skills

Java

C++

Python

SQL

Machine learning

Algorithms

Education

Master's degree in a relevant field

PhD in computer science / quantitative field

Job description

Amazon is seeking an Applied Scientist to build ML models that optimize power and thermal infrastructure for AWS data centers. You will collaborate with scientists, data engineers, and software teams to model, evaluate, and deploy solutions that drive cost savings and reliability.

You will probe data quality, defend against biases, publish results, and translate complex research into production code, with a strong focus on stakeholder impact and scalable systems.