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Human Computer Lab

Intern - Software/ML Engineer

  • Seen live on Human Computer Lab's site yesterday
  • Intern / co-op
  • Remote
Pay
Not stated
Location
San Francisco
Open for
17+ days
First seen
Oct 18, 2026

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Human Computer Lab's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Human Computer Lab, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

Must be a current student
“Are pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Human Computer Lab is a research lab building character robots that feel alive and responsive. 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. We are building the foundation for a new generation of robots designed for everyday environments.

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.

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