Research Scientist, Reinforcement Learning at Boston Dynamics

Waltham, Minnesota, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

RoboticsIndustries

Requirements

MS in Computer Science, Machine Learning, Robotics, or a related field
Prior experience training and deploying RL policies for complex behaviors in robots or simulated characters
Experience with common ML tools, architectures, and workflows
Strong analytical and debug skills

Responsibilities

Creatively apply machine learning to solve real-world bimanual manipulation problems
Write high-quality (documented, tested, maintainable) Python and C++ code
Lead design reviews and collaborate closely with members of the Atlas software team
Deploy and debug your code on Atlas
Architect, train, and deploy learned models to expand the capabilities of Atlas to solve challenging manipulation tasks

Skills

Key technologies and capabilities for this role

Reinforcement LearningPythonC++Machine LearningRoboticsBimanual ManipulationRobot Hardware

Questions & Answers

Common questions about this position

What education is required for the Research Scientist, Reinforcement Learning role?

An MS in Computer Science, Machine Learning, Robotics, or a related field is required, with a PhD being nice to have.

What programming languages will I use in this role?

You will write high-quality Python and C++ code.

What prior experience is needed for this position?

Prior experience training and deploying RL policies for complex behaviors in robots or simulated characters is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free