Intern - Software/ML Engineer
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Before you apply
SalaryNo pay range posted
LocationSan Francisco
Work modehybrid
Typeinternship
SeniorityEntry
DepartmentSoftware
Company size14+ people
PostedApr 3, 2026 · 7mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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 understanding of algorithms and software engineering fundamentals
Experience with machine learning frameworks
Experience in one or more of the following: 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 creating 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 solutions
Passionate about building intelligent physical systems
Moves quickly and works well in rapid iteration cycles
Takes ownership over the systems they design and build
Curious, resourceful, and motivated to solve difficult problems
Works well in small, collaborative teams
Considers not just what immediately works, but how consumers will engage with robots
Equal opportunity employer - considers all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
Skills
Python
C++
machine learning frameworks
computer vision
robotics
reinforcement learning
multimodal AI
Issac Sim
MJLab
Mujoco
About the company
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.
Legal
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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