Senior Staff ML Engineer, Spot — Waltham, MA

322h3Y qqKkxwN2 is building the world’s most advanced robots. The Spot robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.

322h3Y qqKkxwN2 is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. 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.

In This Role You Will

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

• 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 OrbitAI 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 322h3Y qqKkxwN2.

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

• BS and 8+ years of experience, or MS and 5+ years of industry experience 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 all qualified candidates eligible to work in the United States. However, we are not able to sponsor visas for this position.

The base pay range for this position is between $175,000 to $215,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. 322h3Y qqKkxwN2 offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.