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Amazon ML Software Engineer Robotics AI 
United States, Washington, Seattle 
23183151

01.12.2024
DESCRIPTION

We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.
Key job responsibilities
Design and test Machine Learning pipelines for vision systems on robotic platforms.Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

BASIC QUALIFICATIONS

- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing


PREFERRED QUALIFICATIONS

- 3+ 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
- Have deployed, tested and optimized machine learning data curation pipelines, worked on ML Ops, data storage and metrics systems.