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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 53d 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 bringing AI into the physical world, starting with one of the world’s largest industries: food manufacturing.
Food production faces one of the most severe labor shortages in the US, with more than 1 million open jobs today and demand continuing to grow. Our robots help manufacturers automate repetitive food-preparation and assembly tasks so they can increase throughput, improve consistency, and keep production onshore.
Today, Chef robots operate in production facilities across North America and Europe, serving customers including Amy’s Kitchen, gategroup, and CookUnity. Our robots have made over 100 million servings in production, creating the world’s largest proprietary dataset for AI-powered manipulation of deformable food. Every meal our robots produce makes the system smarter.
Backed by leading investors including Avataar Ventures, Construct Capital, Bloomberg Beta, Promus Ventures, and Kleiner Perkins, we’re scaling rapidly with a robotics-as-a-service (RaaS) model and long-term customer partnerships. Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve meaningful problems in the real world.
If you’re excited about solving hard problems, creating real customer impact, and shipping systems that operate in production every day, not just in the lab, you’ll feel at home at Chef.
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
$180,000 - $280,000 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: bringing intelligence into the physical world.
Our robots are already operating in production facilities every day, generating the real-world data that powers the next generation of embodied AI. If you want to build technology that leaves the lab, ships to customers, and transforms an industry, Chef is the place to do it.
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
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