Machine Learning Engineer, Reinforcement Learning jobs in United States
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Path Robotics · 20 hours ago

Machine Learning Engineer, Reinforcement Learning

Path Robotics is building the future of embodied intelligence with AI-driven systems for robots. As a Machine Learning Engineer focused on Reinforcement Learning, you will design and optimize algorithms for intelligent agents in dynamic environments, collaborating with teams to enhance robotic performance.

Artificial Intelligence (AI)Big DataMachine LearningRobotics
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design, implement, and evaluate RL algorithms for robotic control, motion planning, and adaptive behaviors in dynamic, unstructured environments
Develop and integrate RL policies with robot control systems, ensuring compatibility with hardware constraints and real-time requirements
Collaborate with perception teams to fuse RL with vision, depth, and sensor data for robust decision-making
Build and maintain sim-to-real pipelines, including domain randomization and transfer learning techniques
Conduct experiments on physical robots, including designing safety protocols and monitoring for unexpected behaviors
Leverage simulation environments (Isaac Gym, Gazebo, MuJoCo, PyBullet) for large-scale training before real-world validation
Continuously improve model efficiency to operate within compute and latency constraints on embedded robotic systems

Qualification

Reinforcement LearningPythonDeep Learning FrameworksSimulation EnvironmentsProbabilityStatisticsML Model Deployment

Required

Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience
Strong knowledge of reinforcement learning algorithms and theory
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Experience with simulation environments (e.g., MuJoCo, Isaac Gym)
Solid understanding of probability, statistics, and optimization
Experience with training and deploying ML models in production systems

Benefits

Daily free lunch to keep you fueled and connected with the team
Flexible PTO so you can take the time you need, when you need it
Comprehensive medical, dental, and vision coverage
6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
401(k) retirement plan through Empower
Generous employee referral bonuses—help us grow our team!

Company

Path Robotics

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Path Robotics offers robotic welding systems to improve manufacturing efficiency.

H1B Sponsorship

Path Robotics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (12)
2023 (12)
2022 (7)
2021 (6)
2020 (3)

Funding

Current Stage
Late Stage
Total Funding
$271M
Key Investors
Tiger Global ManagementAdditionDrive Capital
2025-11-24Undisclosed
2024-10-14Series D· $100M
2021-07-20Series C· $100M

Leadership Team

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Andrew Lonsberry
CEO
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Caitlin Fiordirosa
Advisor
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Company data provided by crunchbase