Senior Machine Learning Engineer, Manipulation - Chef Robotics

Key Responsibilities

• Design, implement, and optimize machine learning models for object detection, pose estimation, and manipulation in real‑time kitchen environments.
• Integrate perception pipelines with ROS‑based control systems to enable autonomous robot actions such as cutting, stirring, and plating.
• Develop and maintain training data pipelines, including data collection, annotation, and augmentation for diverse food items.
• Collaborate with hardware, software, and product teams to translate research prototypes into production‑ready software deployed on embedded platforms.
• Benchmark model performance, conduct error analysis, and iterate to meet strict latency and accuracy requirements.

Requirements

• 5+ years of experience building computer‑vision and manipulation models using Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong background in robotics middleware (ROS) and experience deploying models on edge devices using Docker or similar containerization tools.
• Hands‑on experience with reinforcement learning or imitation learning for robotic manipulation tasks.
• Proven ability to work with large, unstructured datasets and create robust data pipelines for training and validation.
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced, hardware‑centric environment.