Skip to main content

Computer Vision & Robotics Intern

Posted yesterday

cleraMillbrae (CA)

SENIORITY

Intern

Apply (opens in a new tab)

About the role

About the Role: Join an early-stage industrial automation team building computer vision systems to understand and verify manual assembly work. You will work closely with the technical leadership on perception systems that can detect process deviations in real factory environments.
What You'll Do: Build and improve vision pipelines for detection, classification, tracking, and temporal understanding. Test first-person perception in the presence of camera motion, changing viewpoints, occlusion, motion blur, and variable lighting. Use synthetic and real-world data to find failure cases and improve model performance. Train, evaluate, and debug PyTorch vision models. Explore geometric vision, calibration, localization, pose estimation, and 3D perception. Optimize models for low-latency inference and edge deployment. Build evaluation tools and experiments to measure performance in real-world conditions. Support factory deployments and assess system performance on the shop floor.
What We're Looking For: Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field, with an interest in computer vision and physical AI. Comfort with Python and hands-on experience in computer vision, machine learning, or robotics. Hands-on robotics experience and a computer vision, robotics, or perception project using real sensor or camera data. Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or visual-inertial odometry, 3D vision, CUDA or TensorRT, ROS 2, or NVIDIA Jetson is a plus. Ability to learn quickly, debug technical problems, build projects, and take ownership.
Compensation & Benefits: Visa sponsorship is available, including support for relocation from Germany. LocationOn-site in San Francisco, California.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this