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Computer Vision Startup Jobs in California (NOW HIRING)

Human Computer Lab

ML Engineer

San Francisco, CA · On-site

Human Computer Lab is a robotics startup and research lab building expressive robots that feel ... Build multi-modal machine learning models for tasks such as computer vision, audio processing, and ...

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the ...

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

The ideal candidate brings deep technical expertise in modern computer vision, strong research ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

AIcadium

Sr. CV/ML Scientist

San Diego, CA · On-site

$150K - $180K/yr

Aicadium is looking for a Senior CV/ML Scientist to push the boundaries of computer vision and ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

The ideal candidate brings deep technical expertise in modern computer vision, strong research ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

Aicadium

Sr. CV/ML Scientist

San Diego, CA

Aicadium is looking for a Senior CV/ML Scientist to push the boundaries of computer vision and ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

Atoms

Senior Backend Software Engineer

Los Angeles, CA · On-site

... and computer vision pipelines. Preferred : • Any background or interest in IoT, hardware ... Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate ...

HeyGen

Research Engineer

Los Angeles, CA · On-site

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence ...

Coram AI

Product Manager

Sunnyvale, CA · On-site

... computer vision and AI. They are seeking a Product Manager to drive the development and success of ... fast-growing startup • Resilient in challenging and fast-paced environments • Exceptional ...

Clera

Founding Engineer (Full Stack)

San Francisco, CA · On-site

$100K - $180K/yr

About the Role Join an early-stage AI/ML startup tackling one of construction's most challenging ... Build beautiful, intuitive UIs that surface computer vision model outputs to end users * Work with ...

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Computer Vision Startup information

What are the key skills and qualifications needed to thrive in the Computer Vision Startup position, and why are they important?

To thrive in a Computer Vision Startup, a strong background in computer science, machine learning, and image processing, typically supported by experience with deep learning frameworks and advanced mathematics, is essential. Proficiency with tools such as Python, OpenCV, TensorFlow, and PyTorch, as well as experience with cloud platforms and MLOps, are typically required. Strong problem-solving abilities, adaptability, and effective communication skills are valuable soft skills for navigating the dynamic environment of a startup. These competencies enable rapid innovation, effective teamwork, and successful development of cutting-edge vision applications in a competitive tech landscape.

What is a Computer Vision Startup job?

A Computer Vision Startup job typically involves developing and deploying AI-powered solutions that enable machines to interpret and analyze visual data. Roles in this field may include research, software engineering, data annotation, and model training. Employees often work with deep learning frameworks, image processing techniques, and large datasets to improve computer vision algorithms. Since startups emphasize innovation, team members are expected to be adaptable, collaborative, and proactive in problem-solving.

What are some common day-to-day responsibilities for professionals working at a Computer Vision Startup?

Day-to-day responsibilities at a Computer Vision Startup often include researching and prototyping new algorithms, training and evaluating deep learning models, and collaborating closely with multidisciplinary teams such as product managers and software engineers. You may also be involved in data collection, preprocessing, performance benchmarking, and deploying models to production environments. Regular participation in code reviews, sprint planning, and technical discussions is common. This dynamic environment encourages rapid iteration and creative problem-solving as you help bring innovative computer vision solutions to market.

What are popular job titles related to Computer Vision Startup jobs in California? For Computer Vision Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Vision Startup jobs in California look for? The top searched job categories for Computer Vision Startup jobs in California are:
Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

ML Engineer

Human Computer Lab

San Francisco, CA • On-site

Full-time

Posted 9 days ago

Job description

Human Computer Lab is a robotics startup and research lab building expressive 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
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 decisons 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.

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