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Jobs at Chef Robotics (Now Hiring) — 3 open

Chef Robotics logoChef Robotics

Senior ML Engineer, Manipulation

San Francisco, California, United States · On-site

$200k–$300k/yr

Senior$66M raised

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1…

Skills: Imitation Learning, Reinforcement Learning, PyTorch, Python, Robot Manipulation

Chef Robotics logoChef Robotics

Senior ML Engineer, Foundation Models

San Francisco, California, United States · On-site

$200k–$300k/yr

Senior$66M raised

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1…

Skills: PyTorch, Python, Foundation Models, Robot Learning, Generative Modeling

Chef Robotics logoChef Robotics

Account Executive

Remote OK

$140k–$170k/yr

Senior$66M raised

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1…

Skills: Enterprise Sales, Outbound Discovery, Complex Negotiations, Closing, Pipeline Management

Chef Robotics logo

Senior ML Engineer, Manipulation

Chef Robotics

San Francisco, California, United States • On-site

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  • $200k–$300k/yr
  • Full-time
  • postgraduate degree
  • Medical Insurance, Dental Insurance, Vision Insurance, Commuter Benefits, Flexible Paid Time Off (PTO), Catered Lunch
  • Posted 13d ago
  • ~40 hrs/week

Responsibilities

Design and train ML manipulation policies for dexterous food handling using various end effectors. Own the end-to-end process from defining data collection strategies to deploying and debugging policies on physical robots.

Requirements

Requires an MS or PhD in Robotics, ML, or CS with over 5 years of experience in robotics manipulation and visuomotor control. Must have strong PyTorch and Python skills and a proven track record of deploying policies to real hardware.

Full job description

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base.

Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen.

About the Role

Chef Robotics is building autonomous robots that work alongside humans in commercial food preparation environments. Manipulation is one of the hardest open problems in robotics — and food makes it harder. Unlike structured industrial parts, food items are deformable, visually similar, irregularly shaped, and behave differently depending on temperature, moisture, and preparation state. At Chef, we're solving this in production, every day, across a growing menu of meal types and preparation configurations.

As a Senior ML Engineer, Manipulation, you will own the learning systems that enable our robots to reliably pick, place, and handle diverse food classes using multiple end effectors — from suction grippers to multi-finger hands. You will work end-to-end: from defining data collection strategies and training policies, to deploying and debugging those policies on physical robots in real environments. 

We are a small, high-ownership team. We work onsite five days a week and move with startup urgency.

\nIn this role, you will:
  • Design and train manipulation policies — behavior cloning, imitation learning, and RL — for dexterous food handling across diverse item classes and end effector types (suction, parallel jaw, multi-finger)
  • Implement and evaluate modern policy architectures (diffusion policies, transformer-based action models, action chunking) and adapt them to Chef's specific food manipulation challenges
  • Work with the platform team to build data collection pipelines using teleoperation, kinesthetic teaching, and autonomous rollouts; work with the data team on dataset curation, augmentation, and training infrastructure
  • Define evaluation metrics and regression benchmarks that accurately predict real-world manipulation performance; build recovery and fallback behaviors that handle dropped items, mis-grasps, and partial occlusions gracefully
  • Partner with perception and robotics engineers to validate end-to-end grasp-to-place performance across new food classes, and end effector configurations
What You Bring:
  • MS or PhD in Robotics, Machine Learning, Computer Science, or a closely related field — or equivalent practical experience
  • 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
  • Strong PyTorch skills and experience building reliable, production-quality training and evaluation pipelines
  • Hands-on experience deploying policies to real robotic hardware — not just simulation results
  • Strong software engineering fundamentals in Python; ability to write maintainable, well-tested code across research and production codebases
  • Track record of owning projects end-to-end: from problem framing through field deployment and iteration
Nice-to-have:
  • Experience with Vision-Language-Action (VLA) models, diffusion policies, or transformer-based action representations
  • Familiarity with simulation environments (MuJoCo, Isaac Sim, Genesis) and sim-to-real transfer techniques
  • Experience with multiple end effector types — suction, parallel jaw, multi-finger, or soft grippers
  • Background in food, agriculture, or consumer goods robotics where object variability is high
  • Experience with model compression, quantization, or TensorRT for edge deployment
  • Contributions to open robotics datasets or publications at CoRL, ICRA, RSS, NeurIPS, or similar venues
  • Experience using simulation environments (e.g. Isaac Sim, Gazebo) for synthetic data generation and domain randomization
\n
$200,000 - $300,000 a year
Chef is an early-stage startup where equity is a major part of the compensation package. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
 
In addition to salary and early-stage equity, we offer a comprehensive benefits package that includes medical, dental, and vision insurance, commuter benefits, flexible paid time off (PTO), catered lunch, and 401(k) matching.
\n

Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place.

 

Related keywords

Machine LearningRoboticsManipulationDiffusion PoliciesTransformersPyTorchPythonImitation LearningReinforcement LearningVisuomotor ControlMuJoCoIsaac SimGenesisGazeboTensorRTVLA Models

About Chef Robotics

LinkedInVisit site

Physical AI for the food industry

Industry
Robotics Engineering
Company size
51-200 employees
Founded
2019
Headquarters
San Francisco, California
LinkedIn followers
28,285
Total funding
$66M

Chef’s mission is to empower humans by accelerating the advent of intelligent machines in the world. We believe physical AI (robots that can perceive, reason, and act in the real world) represents the next frontier of AI. While software AI has transformed how we work and communicate, the physical world still runs largely on human labor. That world represents 90% of global GDP, and it’s where AI’s impact will be most profound. Nowhere is this more evident than in food. In 2023, there were over 1.1 million unfilled jobs in food preparation and service. These labor shortages are forcing food companies to leave millions of dollars in unmet demand on the table each year and driving more of the food supply chain offshore, creating significant risks for US food security. Chef Robotics is building physical AI for food. Our AI-enabled robots handle the flexible, variable work of food assembly and preparation (work that has historically required human intervention). By deploying robots that learn from real production data across hundreds of ingredients and customers, we’ve built the world’s largest real-world food manipulation dataset and become the market leader in food robotics. The result: food companies can meet demand, grow production, and keep their supply chains onshore, while their teams focus on the work that humans do best.

Offices: 200 Kansas St, STE 204, San Francisco, California 94103, US

roboticsautonomous robotsautomationmanufacturingmachine learningcomputer visionRobotics as a Servicefood roboticsfood automationEmbodied AI
View all jobs at Chef Robotics

About Chef Robotics

LinkedInVisit site

Physical AI for the food industry

Industry
Robotics Engineering
Company size
51-200 employees
Founded
2019
Headquarters
San Francisco, California
LinkedIn followers
28,285
Total funding
$66M

Chef’s mission is to empower humans by accelerating the advent of intelligent machines in the world. We believe physical AI (robots that can perceive, reason, and act in the real world) represents the next frontier of AI. While software AI has transformed how we work and communicate, the physical world still runs largely on human labor. That world represents 90% of global GDP, and it’s where AI’s impact will be most profound. Nowhere is this more evident than in food. In 2023, there were over 1.1 million unfilled jobs in food preparation and service. These labor shortages are forcing food companies to leave millions of dollars in unmet demand on the table each year and driving more of the food supply chain offshore, creating significant risks for US food security. Chef Robotics is building physical AI for food. Our AI-enabled robots handle the flexible, variable work of food assembly and preparation (work that has historically required human intervention). By deploying robots that learn from real production data across hundreds of ingredients and customers, we’ve built the world’s largest real-world food manipulation dataset and become the market leader in food robotics. The result: food companies can meet demand, grow production, and keep their supply chains onshore, while their teams focus on the work that humans do best.

Offices: 200 Kansas St, STE 204, San Francisco, California 94103, US

roboticsautonomous robotsautomationmanufacturingmachine learningcomputer visionRobotics as a Servicefood roboticsfood automationEmbodied AI
View all jobs at Chef Robotics

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