Principal ML Engineer (Robotics)

Analog Devices · Boston, MA

principal Machine Learning Engineer tech_leadership 8+ yrs Master's · Posted Apr 20, 2026
$200,000 – $275,000
USD per year

About this role

Analog Devices is hiring a principal-level Machine Learning Engineer based in Boston, MA. The posting calls out experience with PyTorch, Reinforcement Learning, Machine Learning and roughly 8+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $200,000–$275,000 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Boston, MA
Experience
8+ years
Education
Master's degree
Posted
Apr 20, 2026
AI Summary
Develop and deploy multimodal machine learning models for dexterous robot manipulation, including reinforcement and imitation learning. Optimize policies on real robots, manage data pipelines across multiple sensor modalities, and solve system-level performance bottlenecks. Requires 8+ years robot learning experience, strong PyTorch/multi-GPU expertise, and publication track record in top ML/robotics conferences.
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Job description

from Analog Devices careers

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

          

Principal Machine Learning Engineer

Target hire: Feb 2026

The Dexterous AI Group (DAG) is seeking an experienced and innovative Machine Learning Engineer to pioneer the next generation dexterous robots. We are a team dedicated to achieving human-level dexterity: creating systems with rich sensing modalities, including vision, audio, tactile, spatial and temporal understanding powered by physical AI. You will develop groundbreaking multimodal ML models that leverage ADI’s cutting-edge sensor and robotic innovations to solve high-value industrial challenges and redefine what's possible.

Responsibilities:

  • Lead the development of robot learning models (RL, IL) for dexterous manipulation.
  • Design and implement simulation environments and evaluation frameworks for algorithm validation.
  • Optimize and deploy trained policies onto real-world robots for autonomous tasks.
    • This is an excerpt. Read the full job description on Analog Devices careers →
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