Principal AI/ML Controls Engineer at Boston Dynamics

Waltham, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI/ML, Warehouse AutomationIndustries

Requirements

MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
Proven experience developing in large, collaborative codebases (Python and C++)
Deep expertise and hands-on experience in one or more of the following areas: Imitation Learning, Unsupervised Learning, or Reinforcement Learning at scale
Designing data collection strategies, curating large-scale proprietary datasets, and developing data flywheels to drive continuous model improvement
Learned visual representations for decision making and manipulation
Multimodal learning, integrating vision, language, and robot states through specialized encoders
Experience developing and using simulations to support AI/ML workflows, including data generation and model evaluation
Demonstrated ability to bridge R&D and product development, delivering deployable technologies
Experience in technical leadership on a cross-discipline team, excellent communication and collaboration skills

Responsibilities

Develop and evaluate learning-based solutions for robotic manipulation and behavior planning using techniques such as reinforcement learning and imitation learning
Leverage multimodal inputs (vision, depth, language, proprioception) and modern ML architectures to improve decision making
Collaborate closely with infrastructure engineers to build and iterate on AI/ML development systems, spanning data collection, model training, validation, and deployment on real robots
Develop and maintain simulation systems that support large-scale data generation, model training, and performance evaluation for learning-based policies
Collaborate with perception, planning, and control teams to integrate learned components into the broader autonomy stack
Transition promising R&D prototypes into robust, production-quality systems deployed in the field
Contribute to the infrastructure and tools enabling scalable AI experimentation, as well as data and model management for continuous learning and deployment

Skills

Python

C++

Reinforcement Learning

Imitation Learning

Unsupervised Learning

Robotic Manipulation

Behavior Planning

Multimodal Inputs

Vision

Depth Sensing

Language Models

Proprioception

ML Architectures

Simulation Systems

Data Collection

Model Training

Model Deployment

Robotics

Boston Dynamics

Develops advanced robots for industrial applications

About Boston Dynamics

Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.

Waltham, MassachusettsHeadquarters

1992Year Founded

$38.8MTotal Funding

ACQUISITIONCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from affordable Chinese robotics could pressure market share and pricing.

Layoffs indicate potential financial or strategic challenges impacting future innovation.

Collaboration with multiple stakeholders may lead to strategic misalignments.

Differentiation

Boston Dynamics excels in creating robots with advanced mobility and dexterity.

Their robots are designed for unstructured environments, enhancing workplace safety and efficiency.

Spot and Atlas are pioneering robots in digital transformation and mobile manipulation.

Upsides

Collaboration with Toyota and Hyundai boosts AI-powered humanoid robot development.

Patent resolution with Ghost Robotics opens collaboration on robotics policy and technology.

AI advancements in Atlas position Boston Dynamics as a humanoid robot market leader.

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