Manager Machine Learning
Boston Dynamics
Manager Machine Learning
Boston Dynamics
Develops legged robots for industrial use
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.
In this role you will:
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.
We are looking for:
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 $190,000 - $245,000. 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.
Develops legged robots for industrial use
Boston Dynamics designs and sells advanced legged robots to improve safety and efficiency in industrial and research settings. Its products, such as Spot and Pick, use onboard AI to perceive the environment, balance and navigate complex terrain, and autonomously avoid obstacles, enabling tasks that are dangerous or physically demanding for people. Spot is a mobile, 65-pound robot that can traverse stairs, uneven surfaces, and rough terrain, while Pick focuses on manipulation for robotics workflows. The company differentiates itself through its focus on mobility, dexterity, and safety, maintaining US-made production, and offering controlled sales plus ongoing maintenance, training, and support to commercial, industrial, and academic clients rather than consumer buyers. The goal is to augment human workers by handling risky or monotonous tasks, increasing safety and productivity across industries.
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