1 day ago
Base Salary
$117k - $160k/yr
Responsibilities
- Own ML solutions across data and feature pipelines, model training, evaluation, and deployment.
- Build perception and computer-vision systems for detection, segmentation, and recognition using real-world robotic sensor data.
- Ship reliable machine-learning systems to production and collaborate with robotics and software engineers on downstream model use.
- Improve training data and models using field data collected from robots.
- Use the AWS ML stack, including SageMaker AI, Bedrock, S3-based pipelines, and GPU training on EC2.
- Serve as a technical lead for robotics innovations deployed in next-generation data centers.
- Travel approximately 30% to AWS offices, data centers, suppliers, vendors, and product validation tests.
Requirements
- Bachelor's degree or above in computer science, machine learning, engineering, or a related field.
- At least 4 years of professional software engineering experience, including shipping machine learning to production.
- Strong software engineering and debugging skills with fluency in Python.
- Hands-on experience owning problems across the full ML stack, including data and feature pipelines, model training, evaluation, and deployment.
- Hands-on experience with Amazon SageMaker AI, Amazon Bedrock, S3-based data or feature pipelines, and GPU training on EC2, or equivalent technologies.
- Computer vision or perception experience involving detection, segmentation, or recognition on real-world sensor data such as RGB and point-cloud data.
- Preferred experience as the sole or lead ML engineer on a team, familiarity with robotics data and tooling such as ROS 2, MCAP, sensor fusion, and edge deployment, and experience fine-tuning or evaluating open models or LLMs and building evaluation harnesses.
Benefits
- Comprehensive health insurance including medical, dental, vision, prescription, life, and AD&D coverage.
- 401(k) matching, paid time off, parental leave, adoption and surrogacy reimbursement, flexible spending accounts, employee assistance, and mental-health support.
- Work-life flexibility, mentorship, knowledge-sharing, career-growth resources, and employee-led affinity groups.
- Approximately 30% travel is expected, primarily domestic, with some international travel possible.
- The compensation package may include sign-on payments and restricted stock units in addition to base salary.
Categories
ML EngineeringRobotics
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.