ML Software Engineer, Robotics AI

$129,300 - $223,600/Yr

Amazon - Seattle, WA

posted 27 days ago

Full-time - Mid Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The ML Software Engineer for Robotics AI at Amazon is responsible for developing high-performance robotic systems that can perceive, learn, and act intelligently. This role involves building computer vision systems, machine learning and AI models, robotic control, and motion planning, as well as managing processes related to decision explanation, fault detection, and large-scale model training. The engineer will work on both prototypes and wide-deployment systems, contributing to the roadmap and implementation of services in the robotic fleet.

Responsibilities

  • Design and test Machine Learning pipelines for vision systems on robotic platforms.
  • Optimize, deploy, and support at scale ML models on the edge.
  • Influence the team's strategy and contribute to long-term vision and roadmap.
  • Work with stakeholders across science and operations teams to iterate on design and implementation.
  • Maintain high standards by participating in reviews and designing for fault tolerance and operational excellence.
  • Create mechanisms for continuous improvement.
  • Work directly with customers and partners to test prototypes and incorporate feedback.
  • Mentor other engineer team members.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience of new and existing systems
  • Experience programming with at least one software programming language
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing.

Nice-to-haves

  • 3+ years of full software development life cycle experience
  • Bachelor's degree in computer science or equivalent
  • Experience deploying, testing and optimizing machine learning data curation pipelines
  • Experience with ML Ops, data storage and metrics systems.

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
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