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Contractual Computer Vision Engineer Jobs in San Ramon, CA

Pano

Senior AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

As a Senior AI/Computer Vision Engineer, you will lead the design, development, optimization, and deployment of AI models and inference pipelines across cloud and edge platforms. You will advance our ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Meta

Research Engineer, Computer Vision

Sunnyvale, CA · On-site

$183K/yr

Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

$150 - $210/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Meta

Research Engineer, Computer Vision

Sunnyvale, CA · On-site

$183K - $257K/yr

Meta is seeking AI Software Engineers to join. The ideal candidate will have industry experience working on computer vision and NLP related topics. The position will involve taking these skills and ...

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Showing results 21-40

All JobsContractual Computer Vision Engineer JobsContractual Computer Vision Engineer Jobs in San Ramon, CA

Contractual Computer Vision Engineer information

See San Ramon, CA salary details

$54.2K

$135.8K

$153.7K

How much do contractual computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for contractual computer vision engineer in San Ramon, CA is $135,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $147,000.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Computer Vision Engineer vs Contractual Machine Learning Engineer?

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are the most commonly searched types of Computer Vision Engineer jobs in San Ramon, CA?

The most popular types of Computer Vision Engineer jobs in San Ramon, CA are:

What job categories do people searching Contractual Computer Vision Engineer jobs in San Ramon, CA look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in San Ramon, CA are:

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Cities near San Ramon, CA with the most Contractual Computer Vision Engineer job openings:

Contractual Computer Vision Engineer jobs near you
Infographic showing various Contractual Computer Vision Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $135,796 per year, or $65.3 per hour.

Research Robotics/Computer Vision Engineer

Skild AI

San Mateo, CA

Full-time

Re-posted yesterday

Key responsibilities

  • implement perception on robots to enable safe exploration and navigation in real world environments

  • reconstruct scenes in 3D using monocular images, estimate camera poses, and optimize 3D SLAM

  • develop software tools for robot localization using visual inputs and build infrastructure for streaming hand movement data

Job description

Position Overview

Skild AI, Inc. seeks a Research Robotics/Computer Vision Engineer in San Mateo, CA responsible for developing perceptive, intelligent, and adaptable robotic systems capable of learning and performing tasks with a focus on 3D computer vision and autonomous navigation. This includes designing perception pipelines, optimizing SLAM systems, and creating learning-based algorithms for robust robotic control in real-world environments. Specific duties include: (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team; (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM; (iii) developing a set of software tools for localization of a robot using only visual inputs; (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs; (v) visual servoing wrt objects detected/ tracked to control robot motion; (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation; (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place; and (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.

Responsibilities
  • (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team
  • (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM
  • (iii) developing a set of software tools for localization of a robot using only visual inputs
  • (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs
  • (v) visual servoing wrt objects detected/ tracked to control robot motion
  • (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation
  • (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place
  • (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.
Minimum Requirements
  • Must have a master's degree (or foreign equivalent) in Computer Vision, Robotics, or a directly related discipline and one (1) year of experience in Machine Learning or Data Science.
  • Must have any experience with or knowledge of each of the following: (i) reconstructing 3D scenes using monocular videos, meshes, pointclouds, Neural Radiance Fields, and Gaussian Splats; (ii) reconstructing rigid and articulated hand-held objects from videos, including inferring the time-varying hand configurations and relative poses of the objects; (iii) using generative computer vision, including diffusion models to guide reconstruction, or addressing occlusion and limited viewpoint variations in videos via data driven priors; (iv) optimizing attention-based models for perception used in autonomous navigation systems; (v) using Neural Architectural Search (NAS) to find better perception backbone architectures with higher accuracies and lower latencies; and (vi) cloud-based training in AWS, Google cloud, or Vetex AI and optimized data loading for cloud based distributed training for deep learning workloads (e.g. Pytorch dataloader, or sharding) with hardware-in-loop.
  • Experience can be concurrent.

Apply online at skild.ai/career.

Apply