Robot Learning

Genesis AI
United States
Workplace: OnsiteFull timeFunction: Education & TrainingExperience: 5+ yearsSkills: ["Ownership","Initiative","Problem-solving","Attention to detail","Methodical approach"]

Build and optimize a learning-based robotic manipulation control stack, including teleoperation for smooth, low-latency motion. Train manipulation and locomotion policies using reinforcement learning and imitation learning, then deploy them and diagnose performance bottlenecks. Improve real-world results by minimizing the sim-to-real gap through co-optimizing simulation and robot behavior, working with a team focused on general-purpose Physical AI.

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FursaFursa
Genesis AI
Genesis AI
4 months ago

Robot Learning

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and optimize a learning-based robotic manipulation control stack, including teleoperation for smooth, low-latency motion. Train manipulation and locomotion policies using reinforcement learning and imitation learning, then deploy them and diagnose performance bottlenecks. Improve real-world results by minimizing the sim-to-real gap through co-optimizing simulation and robot behavior, working with a team focused on general-purpose Physical AI.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training
Seniority: Mid level

Key Responsibilities

  • •Develop and optimize a learning-based robotic manipulation control stack.
  • •Design and maintain a teleoperation system with smooth, precise motion and low latency.
  • •Train robotic policies for manipulation and locomotion using reinforcement learning and imitation learning.
  • •Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline.
  • •Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior.

Key Requirements

  • •Production-level expertise in modern Python or C++.
  • •5+ years of experience building and deploying real-world learning-based robotic systems.
  • •Strong robotics engineering capability and demonstrated excellence in developing robotic control systems.
  • •Experience training policies for robotic manipulation and locomotion using reinforcement learning and imitation learning.
  • •Ability to independently take ownership and solve complex problems with a methodical approach.
Experience:5+ yearsRoboticsReinforcement learningImitation learningRobotics controlPhysical AI
Skills:OwnershipInitiativeProblem-solvingAttention to detailMethodical approach
Tech Stack:PythonC++Reinforcement learningImitation learningTeleoperation

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn