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# Staff Machine Learning Engineer

- **Company:** Boston Dynamics
- **Location:** Boston, United States
- **Experience:** Experienced
- **Salary:** $155,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Information Technology
- **Published:** May 19, 2026
- **Apply:** https://www.dice.com/job-detail/b928dc77-f2cc-432e-a716-e9d060605651

## About the Role

* A Masters degree in Computer Science, Robotics or related field and 3+ years of professional experience
 * A solid understanding of traditional computer vision, robotics and navigation methods (SLAM) and their typical strengths & shortcomings
 * First-hand experience in Machine Learning and data driven approaches to visual perception problems. A good understanding of recent ML approaches such as LLMs & ViTs.
 * Experience with Machine Learning frameworks (e.g. PyTorch)
 * Experienced in writing performant, well-structured, and testable C++ and Python code
 * Be a team player and good communicator, able to work well in a dynamic and collaborative environment
 * Have a passion for quality and autonomous robots

Preferred:

 * A PhD in Computer Science, Robotics or related field.
 * A strong background in SLAM / factor graphs (e.g. gtsam, g2o, Ceres), and ideally ML-enhanced navigation, such as semantic SLAM.
 * Experience with end-2-end semantic navigation approaches.
 * A track record of relevant publications or product deliverables.

## Description

In this role as a Staff Machine Learning Engineer, you will have the opportunity to develop Spot's next generation autonomy capabilities. You will research & integrate state-of-the-art approaches in the areas of perception, localization and navigation to ensure that our robots can navigate the world robustly and confidently.

You will get to:

 * Develop Spot's next generation localization, mapping, perception and autonomy capabilities and deliver them to the product.
 * Apply and develop novel ML-based approaches to solve complex challenges in semantically-aware navigation and localization.
 * Shape the team's strategy for ML model architectures, datasets, and pipelines to achieve maximum model performance.
 * Produce high-quality, performant code in C++ and Python.
 * Design and execute rigorous experiments using both simulated and real-world robot data to ensure solutions not only achieve state-of-the-art performance but are also robust and computationally efficient in real-world deployments.

As a part of the Spot Autonomy Team, you will closely collaborate with other skilled researchers & engineers who are passionate about Spot's autonomy capabilities. Being embedded in the broader Spot R&D team, you will get a chance to further collaborate with other groups and experts from a wide variety of backgrounds.


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