Machine Learning Software Engineer

Boston Dynamics is building the world’s most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today. 

In this role you will have the opportunity to:

• Design, build, and continuously improve Orbit’s machine learning systems to help customers use Spot to inspect, operate and optimize their industrial facilities.

• Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc.

• Establish effective methods of evaluating inspection model performance.

• Curate datasets to be used in model training, fine-tuning and evaluation.

• Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering.

You will be a part of the Asset Owners applications team within the Spot organization. Here you will work alongside full stack engineers and in close coordination with product management and design. You will be supported by ml platform engineers, and collaborate with researchers across Boston Dynamics.

Boston Dynamics is a group of engineers passionate about advancing the state of the art in robotics. 

To succeed in this role you should have the following skills and experience:

• MS in Computer Science, Machine Learning, Robotics, or a related field.

• Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.

• Proficiency in python and experience with common ML tools, architectures and workflows.

• Ability to track the current state of the art, and identify opportunities for product applications.

• A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position.