Key job responsibilities
• 3+ years managing software development or machine learning engineering teams, including hiring, mentoring, and developing technical talent
• 4+ years architecting large-scale model hosting infrastructure, low-latency inference runtimes, and end-to-end model management workflows
• 2+ years of hands-on programming experience in Java, C++, Python, or related languages, with a focus on writing highly optimized, production-ready code
• Proficiency in Natural Language Processing (NLP), Computer Vision (CV), and core machine learning (ML) engineering design patterns.
• Proven experience in Operational Excellence (DevOps/MLOps), Data Engineering/Pipelines, and Cross-Functional Leadership (collaboration with Applied Science and Product teams).
• Excellent oral and written communication skills, with the ability to communicate complex system architectures, MLOps strategies, and AI solutions to all levels of the organization
About the team
The Worldwide Returns & Recommerce (WWRR) Science & Tech team owns a complex multi-disciplinary scope: building the AI and machine learning infrastructure that powers Amazon's global reverse logistics. Operating across the Online Return Center (ORC), Item Grading, and Transportation verticals, we deploy NLP, Computer Vision (CV), and Classical ML to solve high-stakes engineering and asset-optimization challenges at scale.
Returns are growing in volume and complexity. We meet this challenge by engineering production AI/ML platforms that automate decision-making, maximize financial recovery, and optimize processing efficiency from the exact moment a customer initiates a return through every physical touchpoint.
By joining this team, you will design the high-throughput model hosting infrastructure, intelligent grading pipelines, and low-latency inference runtimes that directly accelerate the R&R flywheel-transforming global recommerce into a world-class operation.
BASIC QUALIFICATIONS
- 3+ years of engineering team management experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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, Bellevue - 184,900.00 - 250,200.00 USD annually