Robotics ML Engineer: Post-Training & Deployment

Skild AI; San Mateo (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

A robotics and AI company in California is seeking a passionate Research Engineer to improve foundational models and deploy them onto robots. The role involves researching deep learning models, developing frameworks for behavior improvement, and collaborating with product teams. Ideal candidates will have a strong technical background in robotics, machine learning, and a relevant degree. This position offers a base salary range from $100,000 to $300,000 USD.

Qualifications

• A degree in a related field or equivalent practical experience is required.
• Candidates should have deep technical knowledge in robotics and machine learning.
• Experience with large-scale model training is a plus.

Responsibilities

• Research, post-train, and evaluate deep learning models for robotics.
• Develop frameworks for improving robot behaviors.
• Collaborate with product teams for customer alignment.
• Manage operational lifecycle for customer use cases.
• Ensure robots are deployment-ready for customer sites.
• Build testing and evaluation pipelines.

Skills

Proficiency in Python

Experience with deep learning libraries (PyTorch, TensorFlow, JAX)

Knowledge in computer vision

Experience in robotics

Deep learning for robotics

Reinforcement and imitation learning

Education

BS, MS or PhD in Computer Science, Robotics, Engineering or related field

Tools

ROS/ROS2

Job description

A robotics and AI company in California is seeking a passionate Research Engineer to improve foundational models and deploy them onto robots. The role involves researching deep learning models, developing frameworks for behavior improvement, and collaborating with product teams. Ideal candidates will have a strong technical background in robotics, machine learning, and a relevant degree. This position offers a base salary range from $100,000 to $300,000 USD.