Machine Learning SDE, Scanless Technologies

Amazon•Westboro, WI

6d•Onsite

About The Position

The Scanless Technologies team at Amazon is eliminating manual barcode scanning across one of the world's largest fulfillment and delivery networks using computer vision, machine learning, and advanced sensor systems. Our technology, Amazon Robotics Identification (AR-ID), reads multiple barcodes in real time and powers innovations like Vision-Assisted Package Retrieval (VAPR) inside Amazon's electric delivery vans. Our platform spans sensors, edge inference, cloud training, and robust observability, and it's deployed across thousands of workcells shipping millions of packages daily. We are looking for Software Engineers with a strong focus on real-world Robotics, Signal Processing and Computer vision, to bring new product ideas to life and reimagine how we delight our customers with the help of Machine Learning and computer-vision-based solutions. Familiarity with theoretical foundations is equally important as a builder mindset with strong coding and practical problem solving skills. At Amazon Robotics, candidates have an opportunity to drive projects from research concept to a working prototype and beyond. The candidate should have a strong desire to move quickly to solve Amazon’s business problems via a structured approach.

Requirements

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
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language

Nice To Haves

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

Design, build, and maintain end-to-end solutions that automate data collection, processing, annotation, model training, validation, and deployment for computer vision models operating across thousands of edge devices in production.
Collaborate with applied scientists and ML engineers to operationalize research models into production-ready pipelines, bridging the gap between offline experimentation and real-world deployment on constrained edge hardware.
Partner with hardware and optics teams to validate sensor configurations, calibration accuracy, and image quality requirements that directly impact model performance, closing the feedback loop between field hardware and ML training.
Participate in on-call rotations, triaging ML pipeline failures and model performance degradations in production, performing root cause analysis, and driving resolution to maintain fleet-wide model health.
Implement automated test frameworks including unit, integration, stress, hardware-in-the-loop, and long-running reliability test suites that validate end-to-end system behavior across cloud and edge boundaries before every production deployment
Mentor junior engineers through code reviews, design discussions, and technical guidance, raising the team's overall engineering quality and helping SDE-1s grow toward independent ownership of complex features.

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
sign-on payments
restricted stock units (RSUs)
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
parental leave