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Ml Computer Vision Engineer Jobs in California (NOW HIRING)

Computer Vision Engineer

Sacramento, CA ยท On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision ... Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure). * Contributions to open ...

This role bridges research and production--you'll take ML models from development through ... Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ...

Computer Vision Engineer

Burlingame, CA ยท On-site

$183K - $257K/yr

This role bridges research and production-you'll take ML models from development through deployment ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

Computer Vision Engineer

San Diego, CA ยท On-site

$125K - $130K/yr

Support ML workflows including dataset versioning, experiment tracking, and deployment (Azure ML ... Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision ...

Computer Vision Engineer

San Diego, CA ยท On-site

$150 - $200/hr

Principal Duties and ResponsibilitiesLeverage advanced video and computer vision engineering ... using ML/CV frameworks such as PyTorch , TensorFlow, ONNX, and OpenCV.Familiarity with hardware ...

Computer Vision Engineer

San Diego, CA ยท On-site

$118K - $139K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and ... ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. * Familiarity with hardware ...

Computer Vision Engineer

San Diego, CA ยท On-site

$150 - $200/hr

Leverage advanced video and computer vision engineering expertise to research, design, and ... ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. * Familiarity with hardware ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Optimize edge models for production performance, and operationalize and scale the ML pipeline with ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Optimize edge models for production performance, and operationalize and scale the ML pipeline with ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Fluency with modern ML approaches -- VLMs, LLMs, foundation models, and agentic systems ...

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Optimize edge models for production performance, and operationalize and scale the ML pipeline with ...

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Ml Computer Vision Engineer information

What cities in California are hiring for Ml Computer Vision Engineer jobs?

Cities in California with the most Ml Computer Vision Engineer job openings:

Infographic showing various Ml Computer Vision Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Computer Vision Engineer

Sacramento, CA โ€ข On-site

$121K - $143K/yr

Other

Medical

Posted 9 days ago


Job description

Sapios is building the future of automated driver evaluation systems. Our flagship invention โ€“ the Automated Road Test System (ARTS) โ€“ transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven.


Our technology also has exciting applications in insurance, healthcare, and robotics โ€“ and weโ€™re just getting started.


Role: Computer Vision Engineer

Location: USA only.


Weโ€™re looking for a passionate Computer Vision Engineer to join our core engineering team. Youโ€™ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.


What Youโ€™ll Do


  • Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
  • Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
  • Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
  • Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
  • Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
  • Publish and present work internally and externally (patents, research collaborations).


What Weโ€™re Looking For


  • Strong background in computer vision, deep learning, or robotics.
  • Hands-on experience with PyTorch, TensorFlow, or ONNX.
  • Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
  • Solid programming skills in Python (C++/Swift is a plus).
  • Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
  • A problem-solver mindset: comfortable working on ambiguous, high-impact projects.


Bonus Points For


  • Experience in autonomous driving, ADAS, or driver monitoring systems.
  • Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
  • Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
  • Contributions to open-source projects in CV/ML.


Why Join Us?


  • Be part of a once-in-a-generation innovation redefining road safety.
  • Work in a fast-growing startup with traction across the US and Europe.
  • Collaborate with a team of AI, robotics, and medical innovators.
  • Flexible hybrid/remote setup.
  • Competitive salary + equity options.


How to Apply


Send your CV, portfolio/GitHub, and a short note about why youโ€™d like to join QTPIE to ravi@sapios.io.


Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.