Reinforcement Learning Engineer (AI Robotics)

TL;DR

Reinforcement Learning Engineer (AI Robotics): Develop, train, and deploy reinforcement learning algorithms and build simulation infrastructure for a general purpose humanoid robot with an accent on locomotion and manipulation tasks. Focus on designing scalable training policies, integrating with control systems, and evaluating learned policy performance.

Location: San Jose, CA, USA with 5 days/week onsite collaboration required

Salary: $150,000 - $400,000 annually

Company

hirify.global is an AI Robotics company developing a general purpose humanoid robot designed for corporate tasks targeting labor shortages and unsafe jobs.

What you will do

• Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks
• Build large-scale simulation infrastructure to support training of humanoid robot policies
• Collaborate with controls team to integrate policies into control stack
• Define, test, and evaluate performance metrics for learned policies

Requirements

• Production quality coding skills in PyTorch
• Familiarity with online and offline RL algorithms such as PPO, SAC
• Experience tuning hyperparameters and cost functions for RL algorithms
• Knowledge of RL techniques like domain randomization, curriculum learning, reward shaping
• Experience with ML evaluation tools such as TensorBoard, Weights & Biases
• Must be located in or able to work onsite in San Jose, CA with 5 days/week in-office collaboration

Nice to have

• Experience transferring policies from simulation to robot hardware
• Experience training locomotion policies for quadrupedal or bipedal robots