ML Engineer

Human Computer Lab; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Human Computer Lab in San Francisco is looking for a machine learning engineer to develop intelligent robotic systems. The candidate will work on multimodal models integrating computer vision, audio processing, and behavior. Key qualifications include 3+ years in machine learning, strong skills in Python and C++, and experience with frameworks like PyTorch. Join a focused team pushing human-robot interaction boundaries in a supportive environment that values diversity.

Qualifications

• 3+ years of experience in machine learning for robotics, controls, or perception.
• Strong programming skills in Python and/or C++, understanding of algorithms.
• Experience with machine learning frameworks such as PyTorch.

Responsibilities

• Develop software systems for robotic platforms that enhance perception and behavior.
• Build multi-modal machine learning models for computer vision and audio processing.
• Integrate ML systems with robotic hardware and embedded systems.

Skills

Machine learning for robotics

Python

C++

Computer vision

AI frameworks (PyTorch)

Reinforcement learning

Multi-modal AI

Job description

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

This role is for a machine learning engineer who wants to work on the models that give LeLamp its intelligence – the systems that let the robot perceive its environment, understand what's happening around it, and respond in ways that feel natural and intentional. You'll be developing and advancing the multimodal model architectures at the core of our robot, spanning vision, language, and action, and owning that work from early research through to deployment on real hardware. This is not a role where you train models in isolation and hand them off. You'll see your work running in the robot, shaping how it behaves in the world. You'll work closely with the research and mechanical team at the frontier of embodied AI, where the problems are genuinely open and the decisions you make directly shape what the robot can do.

In this role, you will:

• Develop software systems for robotic platforms that power robot perception, intelligence, and behavior

• Write maintainable, production quality code for research and deployment

• Build multi-modal 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 controls and architectures

You may be a good fit, if you:

• 3+ years (or equivalent) working on machine learning for robotics, controls, or perception

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

• Have experience with machine learning frameworks such as PyTorch

• 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.)

• Show intentionality in design decisions and feel ownership over outcomes, even for systems you don't own.

• Think holistically about the entire system and approach complex problems with creative, outside-the-box solutions.

You will be a strong fit, if you:

• Absolutely love and are passionate about building intelligent physical systems.

• Move quickly and can do rapid iteration cycles. Share work early and iterate.

• Take ownership over the systems they design and build, and are curious, resourceful, and motivated to solve difficult problems.

• Work well in small, collaborative teams.

• Consider not just what immediately works, but how the consumer will engage with the robot.

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.