Datacenter Robotics Engineer, Datacenter Robotic Products & Services

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 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: - 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. 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits . USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually