AWS Infrastructure Services 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 ensures 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.

Within AIS, the DC Robotics team is growing in maturity, so now is the time to join and drive game changing and rapid innovation used by AWS globally. Our designs will fundamentally change the data center, providing operational and financial benefits that are critical to the success of the AWS business and its millions of customers. Our engineers solve challenging technology problems and take big bets on new concepts, enabling AWS services to continue to revolutionize the industry. This role provides the opportunity to be a technical lead driving the innovations being developed and deployed in the next generation data centers.

AWS is seeking a Robotics Engineer to support building systems that operate in our data centers and collect rich sensor data at scale. We're seeking a Generalist Machine Learning Engineer to own the ML that turns robot-collected data - imagery, LiDAR, thermal streams, etc - into useful, reliable outputs. The ideal candidate has a proven track record of reliable performance in production across a broad range of problems - perception, model fine-tuning, evaluation, and the pipelines that feed and serve them. This role closely collaborates with robotics and software engineers so model outputs are usable downstream, and so field data feeds back into better training data and better models.

As Amazon has a global presence, intermittent travel will be necessary and should be expected to be approximately 30% to AWS offices, data centers, suppliers, vendors, and product validation tests. While most travel will be domestic, some international travel may be required.

BASIC QUALIFICATIONS

- Bachelor's degree or above in computer science, machine learning, engineering, or related fields

- 4+ years of professional software engineering experience, including shipping ML to production.

- Strong general software engineering and debugging skills, and fluency in Python.

- Hands-on experience owning problems across the full ML stack: data/feature pipelines, model training, evaluation, and deployment.

- Hands-on experience with the AWS ML stack (or equivalent) - Amazon SageMaker AI (training, tuning, endpoints), Amazon Bedrock, S3-based data/feature pipelines, and GPU training on EC2.

- Computer vision / perception experience (detection, segmentation, recognition) on real-world sensor data - RGB, PCD, etc.

PREFERRED QUALIFICATIONS

- Experience as the sole or lead ML engineer on a team of otherwise non-ML engineers.

- Familiarity with robotics data and tooling (ROS 2, MCAP, sensor fusion) and edge deployment.

- Experience fine-tuning and evaluating open models / LLMs, and building evaluation harnesses.

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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually