Human Computer LAB

Human Computer LAB

Perception Engineer

San Francisco

Sponsorship not specifiedDetected 5 hours ago
PythonC++Machine LearningTensorFlowPyTorchComputer VisionRoboticsElectrical EngineeringResearch

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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.
  • Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered.
  • This role sits at the intersection of robotics, machine learning, and software engineering.

Responsibilities

  • 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.
  • Document clearly and drive issues to resolution.
  • Care deeply about building perception systems that work reliably outside ideal lab conditions.
  • Human Computer Lab is a research lab building character robots that feel alive and responsive.

Requirements

  • Have a degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field, and a minimum of 3+ years of hands-on experience.
  • Are proficient in Python and comfortable working in C++ when required.
  • The liveliness of our robot will truly convey the character interface that we are building that can learn and adapt as required.

Benefits

  • You will work on developing computer vision and machine learning system at the core of the robot's awareness, enabling it to recognize people, understand gestures, track attention, and respond naturally in real time.
  • Design, train, and deploy computer vision and perception models for person detection, tracking, pose estimation, gesture recognition, emotion recognition and scene understanding.
  • Have experience training and deploying machine learning models using frameworks such as PyTorch, TensorFlow, ONNX, or similar tools.
  • Have worked on computer vision problems such as object detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding.
  • Have strong intuition for debugging machine learning systems and can distinguish between data problems, model problems, and deployment problems.

Company info

  • awareness, responsiveness, and the feeling that the robot is alive.
  • The early team becomes the DNA of the company.
  • We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable.
  • This requires us to be curious, creative, and diverse in our thinking and approach.
  • We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  • Even if you don't meet every single requirement, we encourage you to apply.
  • Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.
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This listing is sourced directly from Human Computer LAB's careers page and normalized into a canonical job model.