ZipRecruiter

Log In

2

Fulltime Reinforcement Learning Phd Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsFulltime Reinforcement Learning Phd Jobs

Fulltime Reinforcement Learning Phd information

What is the difference between Fulltime Reinforcement Learning Phd vs Machine Learning Engineer?

AspectFulltime Reinforcement Learning PhdMachine Learning Engineer
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch-focused, academic or R&D labsIndustry, product development teams
Employer & Industry UsageUniversities, research institutions, tech companiesTech companies, startups, enterprise firms
Common Search & ComparisonYesNo

Fulltime Reinforcement Learning Phds typically focus on research and theoretical development in AI, often working in academic or R&D settings. Machine Learning Engineers apply AI techniques to develop practical applications in industry. While both roles require strong AI knowledge, the Phd emphasizes research, whereas the Engineer emphasizes implementation.

More about Fulltime Reinforcement Learning Phd jobs
What cities are hiring for Fulltime Reinforcement Learning Phd jobs? Cities with the most Fulltime Reinforcement Learning Phd job openings:
What states have the most Fulltime Reinforcement Learning Phd jobs? States with the most job openings for Fulltime Reinforcement Learning Phd jobs include:
What job categories do people searching Fulltime Reinforcement Learning Phd jobs look for? The top searched job categories for Fulltime Reinforcement Learning Phd jobs are:
Fulltime Reinforcement Learning Phd jobs near you
Infographic showing various Fulltime Reinforcement Learning Phd job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Research Scientist, Reinforcement Learning - Atlas

Research Scientist, Reinforcement Learning - Atlas

Boston Dynamics

Waltham, MA • On-site

$175K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

At Boston Dynamics, we are pushing the boundaries of what advanced humanoid robots can do in the real world. The Atlas team is building next-generation whole-body mobile manipulation capabilities, and we are seeking a curious, driven Research Scientist to develop cutting-edge reinforcement learning (RL) solutions that run directly on our humanoid platforms.
In this role, you will design, train, and deploy RL policies that combine whole-body movement and dexterous manipulation to solve complex tasks in unstructured environments. You'll work with a world-class team of roboticists and have rare, direct access to our physical Atlas robots and large-scale simulation infrastructure.
What You'll Do
  • Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks.
  • Develop high-quality Python and C++ code that is tested, documented, and production-ready.
  • Build and leverage high-fidelity simulation environments (e.g., Isaac Sim, MuJoCo) to validate RL policies before deploying on hardware.
  • Integrate learned policies with Atlas's control and software stack through close collaboration with controls and platform teams.
  • Deploy, debug, and iterate policies directly on real Atlas hardware through hands-on experimentation.
  • Participate in design reviews, experimental planning, and team-wide research direction.

We're Looking For
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
  • Strong experience training and deploying RL policies for complex behaviors in robots or simulated agents.
  • Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, RLlib).
  • Strong foundations in algorithms, debugging, performance optimization, and robotics fundamentals (kinematics, dynamics).
  • Excellent Python and C++ programming skills and experience contributing to production-scale software.

Nice to Have
  • PhD or equivalent research experience in reinforcement learning or robotic manipulation.
  • Experience deploying RL policies on physical robots.
  • Experience developing locomotion, bimanual manipulation, or whole-body control behaviors.
  • Contributions to large software projects or open-source ML/robotics frameworks.
  • Publications in top-tier robotics or ML conferences (e.g., CoRL, RSS, ICRA, NeurIPS).

Why Join Us
  • Direct access to cutting-edge humanoid robots and the infrastructure to run large-scale RL experiments.
  • A highly collaborative, mission-driven team where your work has immediate impact.
  • The opportunity to define state-of-the-art humanoid capabilities and shape the future of real-world robotics.

The base pay range for this position is between $175,000 to $230,000 annually. 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 a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment. We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.

Apply