Human Computer Lab Logo

Human Computer Lab

Intern - Software/ML Engineering

Posted 3 Days Ago
Hybrid
San Francisco, CA, USA
Internship
Hybrid
San Francisco, CA, USA
Internship
As an intern, you'll develop software and machine learning systems for robots, focusing on perception, intelligence, behavior, and real-time software integration.
The summary above was generated by AI
Join us

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.

What to expect

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.

In this role, you will:

  • 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

You may be a good fit if you:

  • Are pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field

  • Have strong programming skills in Python and/or C++ as well as an understanding of algorithms and software engineering fundamentals.

  • Have experience with machine learning frameworks

  • Have experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI

  • Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)

  • Are 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.

You will be a strong fit, if you:

  • Are passionate about building intelligent physical systems.

  • Move quickly and work well in rapid iteration cycles.

  • Take ownership over the systems they design and build.

  • Are 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.


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.

Similar Jobs

15 Hours Ago
Hybrid
Entry level
Entry level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
The technician will perform quality testing, audits, and ensure adherence to quality standards while supporting continuous improvement initiatives.
Top Skills: Assembly ProcessesQuality Control ProceduresSpc Measurements
15 Hours Ago
Hybrid
21-23 Hourly
Internship
21-23 Hourly
Internship
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Provide technical support to end-users, assist with installation, configuration, and maintenance of systems, help manage Active Directory and O365 services, support networks and print servers, maintain IT documentation and inventory, and assist with testing and deployment of software and new technologies.
Top Skills: Active DirectoryManaged Workplace ServicesMicrosoft TeamsO365Print ServersSharepoint
15 Hours Ago
Hybrid
21-23 Hourly
Entry level
21-23 Hourly
Entry level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Support engineers in developing and defining manufacturing processes for new product introductions and enhancements. Assist with validation testing (DVP&R), tooling and capability planning, control plans, layouts, statistical investigations, and continuous improvement initiatives to optimize quality and costs while ensuring customer satisfaction.
Top Skills: 3D ViewersExcelOutlookPowerPointWord

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account