Intern - Software/ML Engineering

Human Computer Lab • San Francisco, CA

8d

About The Position

Human Computer Lab is building robots that feel alive and responsive. We are a fast-paced and focused team, with the goal of pushing the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and intentional. As an intern, you will be responsible for helping build the software and machine learning systems that power robot perception, intelligence, and behavior. You will work closely with the team to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic hardware — turning research and simulation into reliable, production-ready robotics software.

Requirements

• Pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field
• Strong programming skills in Python and/or C++ as well as an understanding of algorithms and software engineering fundamentals.
• Experience with machine learning frameworks
• Experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI
• Experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)
• Comfortable jumping into unfamiliar systems and can create order through chaos.
• Care about users and feel ownership over outcomes, even for systems you don't own.
• Think holistically about systems and approach complex problems with creative, outside-the-box solutions.

Nice To Haves

• Passionate about building intelligent physical systems.
• Move quickly and work well in rapid iteration cycles.
• Take ownership over the systems they design and build.
• Curious, resourceful, and motivated to solve difficult problems.
• Work well in small, collaborative teams.
• Consider not just what immediately works, but how consumers will engage with robots.

Responsibilities

• Develop software systems for robotic platforms that power robot perception, intelligence, and behavior
• Build machine learning models for tasks such as computer vision, audio processing, and interaction understanding
• Design and implement pipelines for training and deploying machine learning models
• Integrate ML systems with robotic hardware and embedded systems
• Improve robot perception, responsiveness, and behavioral intelligence
• Collaborate with robotics engineers to build integrated robotic systems

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed