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Senior Reinforcement Learning Engineer (Physical AI & Robotics)

Primis • United State
Remote Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead the architectural design of a proprietary neural world model for industrial robotics, optimizing welding processes via reinforcement learning. Transition research prototypes into production systems, ensuring real-world manufacturing precision and reliability. Requires deep expertise in RL, simulation, and cross-functional collaboration to bridge gaps between digital benchmarks and physical deployment.

Key Highlights
Architect and deploy reinforcement learning policies for real-world industrial robotics in heavy manufacturing
Replace/augment classical physics simulators with high-fidelity learned world models for welding optimization
Diagnose and resolve reward exploitation, instability, and deployment challenges in production environments

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Key Responsibilities
Define state, observation, action, and reward representations for manufacturing objectives using offline, model-based, or constrained RL methods
Train and evaluate policies using learned world models, traditional simulation, and offline datasets to optimize weld quality and cycle time
Diagnose and mitigate reward exploitation, unsafe behavior, and policy instability in production systems
Design methods to handle real-world uncertainties like distribution shift, delayed outcomes, and sparse reward signals
Collaborate across functional teams to establish reliable evaluation methods for industrial deployment
Technical Skills Required
Reinforcement Learning Python Deep Learning Frameworks (PyTorch or TensorFlow)

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Benefits & Perks
Competitive compensation at NY/SF market rates
Fully remote work with Columbus, OH option
Full H1B transfer and Green Card sponsorship support

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Nice to Have
Experience with simulation environments like MuJoCo or Isaac Gym
Strong interest in learning-based robotics for complex, poorly modeled physics
Background in probability, statistics, and optimization

Job Description

Senior Machine Learning Engineer (Reinforcement Learning)

The Opportunity: Scaling Production-First Physical AI

While much of the robotics industry is focused on research and lab prototypes, our client is a production-first leader in Embodied Intelligence. They have 50+ autonomous robotic cells already live in heavy manufacturing environments, solving complex physics problems that traditional simulators struggle to capture.

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Job Overview
Posted Date Aug 11, 2026
Employment Type Full-time
Experience Level Mid-Senior level
Location United State
Category Machine Learning
Company Primis
Mentioned Skills
python ai simulation prototypes deep learning tensorflow pytorch machine learning

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