Principal Ml Engineer (robotics)

Analog Devices

Base: $200,000 to $275,000; bonus: discretionary p...
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Reinforcement learning and imitation learning expertise
Pytorch multi-gpu cluster training experience
Simulation environment and evaluation framework design
** Analog Devices is seeking a Principal Machine Learning Engineer for its Dexterous AI Group, focusing on the development of advanced robotic systems with human-level dexterity. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement and imitation learning, and will play a pivotal role in creating multimodal ML models to address significant industrial challenges. **

Job Summary

  • The team is dedicated to achieving human-level dexterity by creating systems with rich sensing modalities powered by physical AI.
  • Candidates will lead the development of robot learning models using Reinforcement Learning and Imitation Learning for dexterous manipulation tasks.
  • The position offers a competitive salary range of $200,000 to $275,000 along with medical, vision, dental coverage, and a 401k plan.

Matching Summary

Match Score: 75

** Analog Devices is seeking a Principal Machine Learning Engineer for its Dexterous AI Group, focusing on the development of advanced robotic systems with human-level dexterity. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement and imitation learning, and will play a pivotal role in creating multimodal ML models to address significant industrial challenges. **

Salary

Base: $200,000 to $275,000; Bonus: Discretionary performance-based bonus available; Benefits: Medical, vision, dental, 401k, paid vacation, holidays, sick time

Skills & Requirements

Must-have

  • Reinforcement Learning and Imitation Learning expertise
  • PyTorch multi-GPU cluster training experience
  • Simulation environment and evaluation framework design
  • Real-world robot policy deployment skills
  • Full data lifecycle management across sensor streams

Nice-to-have

  • Familiarity with foundation models and world models
  • Experience with VLAs (Vision-Language-Action models)
  • Knowledge of ROS/ROS2 and Isaac Sim toolkits
  • Track record of publications at top conferences
  • Ph.D. in a relevant field

Key Requirements

  • Master's degree or equivalent experience required
  • 8+ years of experience in robot learning research or engineering
  • US Citizenship, Permanent Resident, or protected individual status required

Work Rights

Must be US Citizen, US Permanent Resident, or protected individual

Tailored Resume

Cover Letter