Principal Ml Engineer (robotics)

Analog Devices Foundation

Base: $200,000 to $275,000; bonus: discretionary p...
Not specified (additional information needed)
Reinforcement learning and imitation learning expertise
Pytorch multi-gpu cluster training experience
8+ years in robot learning research or engineering
Analog Devices, Inc. is seeking a Principal Machine Learning Engineer for its Dexterous AI Group, focusing on developing advanced robotics with human-level dexterity. The role requires substantial experience in machine learning, especially in reinforcement and imitation learning, to create multimodal models that enhance robotic capabilities

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 groundbreaking multimodal ML models leveraging cutting-edge sensor and robotic innovations.
  • The position offers a competitive salary range of $200,000 to $275,000 along with comprehensive benefits including medical, vision, dental, and 401k.

Matching Summary

Match Score: 85

Analog Devices, Inc. is seeking a Principal Machine Learning Engineer for its Dexterous AI Group, focusing on developing advanced robotics with human-level dexterity. The role requires substantial experience in machine learning, especially in reinforcement and imitation learning, to create multimodal models that enhance robotic capabilities.

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
  • 8+ years in robot learning research or engineering
  • Simulation environment and evaluation framework design
  • Real-world robot policy deployment skills

Nice-to-have

  • Familiarity with foundation models and world models
  • Experience with VLAs (Vision-Language-Action models)
  • Knowledge of ROS/ROS2 robotics toolkits
  • Experience with Isaac Sim simulation platform
  • Track record of publications at top conferences

Key Requirements

  • Master's degree or equivalent experience required
  • 8+ years of experience in robot learning
  • Expertise in large-scale model training with DeepSpeed
  • US citizenship or permanent residency preferred for export control

Work Rights

Must have US citizenship, US Permanent Resident status, or protected individual status

Tailored Resume

Cover Letter