ML Engineering Manager, Industrial Vision & Robotics

ML Engineering Manager, Industrial Vision & Robotics

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team of ML engineers to develop advanced AI systems for industrial inspection.
  • Company: Join Boston Dynamics, a leader in robotics and innovative technology.
  • Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with cutting-edge projects and career advancement.
  • Why this job: Make a significant impact in the field of robotics and machine learning.
  • Qualifications: 10+ years in CS/ML/Robotics with strong Python and CUDA/PyTorch skills.

The predicted salary is between 72000 - 88000 Β£ per year.

Boston Dynamics is seeking a highly experienced Manager, Machine Learning to lead the Orbit team's ML engineers on advanced multimodal models for industrial inspection.

You will design, build and continuously improve Orbit's AI systems, collaborating with software, product management and research teams.

You will require BS+10y or MS+7y in CS/ML/Robotics, expert Python and CUDA/Py Torch skills, and a track record in computer vision and model fine-tuning.

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ML Engineering Manager, Industrial Vision & Robotics employer: Boston Dynamics

Boston Dynamics is an exceptional employer, offering a dynamic work environment in the heart of the United Kingdom where innovation thrives. Employees benefit from a collaborative culture that fosters professional growth through hands-on experience with cutting-edge robotics technology, alongside opportunities for continuous learning and development. With a commitment to safety and reliability, team members are empowered to contribute to groundbreaking projects that redefine the future of humanoid robotics.

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Contact Details:

Boston Dynamics Recruitment Team

We think you need these skills to ace ML Engineering Manager, Industrial Vision & Robotics

Machine Learning
Multimodal Models
Industrial Inspection
AI Systems Design
Collaboration with Software Teams
Collaboration with Product Management
Collaboration with Research Teams