Why FPO?
Impact at scale – Your code runs on hundreds of workcells processing millions of packages. Improvements compound across the fleet.
Science meets engineering – You work alongside ML scientists and translate their research into production systems. You don't just deploy models, you build the platforms that make the entire ML lifecycle faster.
Breadth of problems – From real-time scoring services to VLM-based monitoring to data platform design, the technical surface area is wide and deep.
Ownership – Small teams, high self-governance, direct line from your work to business outcomes.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- Experience designing and building distributed systems or data-intensive applications
- Experience with the full software development lifecycle: design, implementation, testing, deployment, and operations
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with ML infrastructure (training pipelines, model serving, feature stores, monitoring)
- Experience with event-driven architectures and stream processing at scale (Kinesis, Kafka, SQS)
- Experience with AWS services (ECS, Lambda, SageMaker, DynamoDB, S3, Athena)
- Experience building developer tools, data platforms, or observability systems
- Familiarity with ML concepts (model evaluation, data drift, active learning, annotation pipelines)
- Experience working in robotics, or computer vision
- Experience with infrastructure-as-code (CDK, CloudFormation)
- Strong written communication skills, ability to author design documents and influence technical decisions
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, MA, North Reading – 143,700.00 - 194,400.00 USD annually
USA, MA, Westboro – 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle – 143,700.00 - 194,400.00 USD annually