Principal AI/ML Engineer

Principal AI/ML Engineer focuses on leading the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted.

What the role involves

• Leading the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted.
• Driving the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
• Develop real-world and simulation-based datasets for benchmarking and validation.
• Guide sensor selection and system integration.
• Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.
• Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.

Skills and requirements

• 10+ years of experience in robotics, computer vision, control theory or AI.
• With 3+ years in a technical leadership role.
• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.

Confirmed role details

• Proven track record of deploying algorithms in real-world systems.
• Strong programming skills in Python, with experience in frameworks like ROS, PyTorch or Tensorflow.
• Deep knowledge in the areas of robot locomotion, robot kinematics and robot dynamics.
• Bonus Experience (Nice to Have).

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.