Manager, Machine Learning
Boston Dynamics
Job Overview
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Job Description
Manager, Machine Learning at Boston Dynamics
Boston Dynamics is building the world’s most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.
We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics 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 Orbit, we’re building a foundation model with leading zero-shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.
Key Responsibilities
- Be a lead on a team of ~5 machine learning engineers.
- 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.
Team Collaboration
You will be a part of the Spot Applications 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.
What We Are Looking For
- BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.
- Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques.
- Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.
- Experience with common ML tools (CUDA, pytorch), 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.
Compensation & Benefits
The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $187,580- 275,117. 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. Boston Dynamics 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.
Key skills/competency
- Machine Learning Leadership
- Computer Vision
- Generative AI
- Multimodal Data
- Python Software Development
- PyTorch
- Model Training & Fine-tuning
- Robotics Applications
- Data Curation
- Prompt Engineering
How to Get Hired at Boston Dynamics
- Research Boston Dynamics' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your ML leadership, computer vision, and Python expertise for robotics.
- Showcase relevant projects: Demonstrate experience with generative AI, foundation models, and multimodal data applications.
- Prepare for technical depth: Expect rigorous questions on PyTorch, CUDA, model architecture, and performance optimization.
- Understand Boston Dynamics' impact: Articulate how your skills align with their mission of building advanced, intelligent robots.
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