Research Engineer, Atlas Behavior Learning at Boston Dynamics

Waltham, Minnesota, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

Candidates should possess an MS in Computer Science, Machine Learning, Robotics, or a related field, with a strong foundation in Python, C++, and modern numerical frameworks like PyTorch and Jax. Experience with databases, compute clusters, Kubernetes, Docker, and CI/CD is also required. The ideal candidate will have 3+ years of industry experience in robotics or machine learning, extensive experience training RL policies in simulation with domain randomization, and experience with large multi-language codebases and writing real-time control software for robots. Excitement for integrating, running, and evaluating learned policies on robots is essential.

Responsibilities

The Research Engineer will train RL and BC policies for challenging bi-manual manipulation tasks and write well-documented control code for deploying these policies to Atlas. They will lead the development of evaluation frameworks for quantitative benchmarking of policies and work on scalable simulation and data management tools for storing unstructured training data. Collaboration with research scientists on state-of-the-art reinforcement learning and behavioral cloning algorithms is also a key responsibility.

Skills

Reinforcement Learning

Behavioral Cloning

Physics Simulation

Python

C++

PyTorch

Jax

Robotics

Control Systems

Data Management

Simulation

Kubernetes

Docker

CI/CD

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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