Senior ML Engineer, Robotic Manipulation (Food)

Alumni Ventures; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching

Flexible paid time off (PTO)

Catered lunch

Commuter benefits

Job summary

Chef Robotics in San Francisco is seeking a Senior ML Engineer specializing in manipulation. In this role, you will design and implement machine learning systems that allow robots to handle various food classes effectively. The ideal candidate will have extensive experience in robotics and machine learning, particularly in real-world implementations.

This position offers an annual salary between $200,000 and $300,000, reflecting the candidate's skills and experience, along with equity and a comprehensive benefits package including medical and flexible PTO.

Qualifications

• 5+ years of experience developing and deploying ML systems for robotics manipulation, visuomotor control, or robot learning.
• Deep expertise in at least two of imitation learning, reinforcement learning, grasp estimation, or learned motion generation.
• Hands-on experience deploying policies to real robotic hardware.

Responsibilities

• Design and train manipulation policies for dexterous food handling.
• Implement and evaluate modern policy architectures for food manipulation challenges.
• Work with platform team to build data collection pipelines.

Skills

Imitation learning

Reinforcement learning

Grasp estimation

Strong PyTorch skills

Software engineering in Python

Education

MS or PhD in Robotics, Machine Learning, Computer Science, or equivalent practical experience

Tools

Teleoperation

Kinesthetic teaching

MuJoCo

Isaac Sim

Job description

Chef Robotics in San Francisco is seeking a Senior ML Engineer specializing in manipulation. In this role, you will design and implement machine learning systems that allow robots to handle various food classes effectively. The ideal candidate will have extensive experience in robotics and machine learning, particularly in real-world implementations.

This position offers an annual salary between $200,000 and $300,000, reflecting the candidate's skills and experience, along with equity and a comprehensive benefits package including medical and flexible PTO.