Perception Engineer

Human Computer Lab is a robotics startup and research lab building expressive robots that feel alive and responsive. They are seeking a hands-on Perception Engineer to develop computer vision and machine learning systems for their robots, enabling them to understand and interact with people effectively.

Responsibilities:

• Design, train, and deploy computer vision and perception models for person detection, tracking, pose estimation, gesture recognition, emotion recognition and scene understanding
• Develop data collection, labeling, and evaluation pipelines to improve model performance and reliability
• Build perception systems that operate robustly across varying lighting conditions, environments, and user behaviors
• Optimize models for real-time inference on edge hardware while balancing latency, accuracy, and power constraints
• Work with RGB cameras, depth sensors, IMUs, audio inputs, and other sensor modalities to create multi-modal perception systems
• Develop tools for dataset management, model evaluation, debugging, and monitoring
• Support integration between perception, behavior, controls, and firmware systems
• Stay updated with state-of-the-art research to develop architectures and techniques that can improve the robot’s ability to understand and interact with people
• Debug perception failures systematically and close the loop through data-driven improvements
• Help define and evolve the platform’s perception architecture as the robot grows in capability