Senior ML Software Engineer, Robotics, Amazon Robotics
Description -----------
Join us in building intelligent robotic systems that perceive, learn, and act in the real world. You'll develop the computer vision, machine learning, and control systems that power our first-of-its-kind robotic workcells, working across prototypes in the lab and deployed systems at scale.
As a Software Engineer on the Vulcan team, you'll work on end-to-end robotic systems that combine hardware and software innovation. You will build and operate the ML infrastructure that powers robotic workcells across Amazon's fulfillment network - training pipelines, model deployment systems, data pipelines, model monitoring systems that ensure our ML models perform reliably at scale. You'll partner with hardware engineers, roboticists, and data scientists to integrate your software into functioning workcells. You'll also participate in monitoring system performance, conducting A/B tests on new features, and troubleshooting issues as they arise in both controlled lab environments and production deployments. This role offers the opportunity to see your code directly impact physical systems and to learn from an interdisciplinary team building every layer of the robotic stack.
Key job responsibilities - Deploy computer vision and machine learning systems that enable robots to perceive and grasp their environment - Build and maintain ML training and evaluation pipelines for computer vision and manipulation models - Design model deployment and rollback infrastructure across lab and production robotic workcells - Develop data pipelines for ingesting, curating, and versioning training data from robotic fleet telemetry - Implement model monitoring, drift detection, and alerting to ensure production model health - Automate experiment tracking, A/B testing, and model validation workflows - Own CI/CD for ML — automated testing, packaging, and promotion of model artifacts - Partner with ML scientists and roboticists to operationalize research models into production systems
A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team We are building the next generation of robotic automation at Amazon. Our team combines software engineers, roboticists, and hardware specialists working toward a common vision of intelligent, adaptable robotic systems. We serve internal Amazon operations and external customers who rely on our robotic solutions to improve their productivity and efficiency. Over the coming years, we're focused on expanding the capabilities of our robotic fleet—making systems more autonomous, more adaptable to different environments, and more reliable at scale. As a member of this team, you'll help shape how robots learn and operate in complex, real-world settings. We value partnership, continuous learning, and the diverse perspectives that help us solve hard technical problems collectively.
Basic qualifications --------------------
- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience building computer vision systems, ML and AI models, robotic control and motion planning, and process management. - Experience building computer vision systems, ML and AI models, robotic control and motion planning, and process management.
Preferred qualifications ------------------------
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent
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 - 168,100.00 - 227,400.00 USD annually
About Amazon
Amazon is an e-commerce website for consumers, sellers, and content creators.
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