ZipRecruiter

Log In

1

Contractual Computer Vision Engineer Jobs in Berkeley, CA

Navigate AI

AI Engineer

San Francisco, CA · On-site

$90 - $120/hr

Now we're looking for a founding computer vision engineer to push this to the next level. The Role We're looking for a hands-on, creative CV engineer who wants to build products that live in the real ...

previous page

Showing results 41-60

All JobsContractual Computer Vision Engineer JobsContractual Computer Vision Engineer Jobs in Berkeley, CA

Contractual Computer Vision Engineer information

See Berkeley, CA salary details

$59.4K

$148.8K

$168.4K

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 Berkeley, CA is $148,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $161,000.00 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 Berkeley, CA?

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

What are popular job titles related to Contractual Computer Vision Engineer jobs in Berkeley, CA?

For Contractual Computer Vision Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

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

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

What cities near Berkeley, CA are hiring for Contractual Computer Vision Engineer jobs?

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

Contractual Computer Vision Engineer jobs near you

Applied AI Engineer - Computer Vision & VLMs

MaxIT Consulting - Max Corporate Group

San Francisco, CA • On-site

Full-time

Posted 2 days ago

New

Job description

SF Bay Area, California | Fully On-site

We are seeking an Applied AI Engineer to join an early-stage technology company building AI systems for real-world industrial environments. This role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.

The Opportunity

You will own critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments. The role combines applied AI, computer vision, evaluation systems, and production engineering.

Key Responsibilities
  • Build and deploy agentic vision-language systems for real-world industrial workflows.
  • Develop multimodal reasoning capabilities across images and video.
  • Work with detection, segmentation, visual reasoning, VLMs, and related applied computer vision techniques.
  • Own model orchestration and production deployment across hardware-constrained environments.
  • Design and maintain evaluation systems including ground-truth datasets, trajectory evaluation, and regression testing.
  • Iterate on production models based on real-world usage and measurable system performance.
Required Qualifications
  • Approximately 1 to 5 years of relevant professional experience.
  • Hands-on experience shipping computer vision, multimodal, or vision-language systems to production.
  • Strong practical understanding of visual AI applied to images and/or video.
  • Experience owning technical systems end to end rather than working exclusively on research prototypes.
  • Comfort operating in real-time, edge, hardware-constrained, or connectivity-constrained environments.
  • Strong software engineering fundamentals and a high level of technical ownership.
Candidate Profile

The strongest candidates are practical builders who have shipped real systems with real users. Experience in robotics, autonomous systems, drones, wearables, real-time video, edge computing, or adjacent physical-world AI domains is highly relevant.

Work Arrangement

This position is fully in person in the San Francisco Bay Area. The initial working location is in Burlingame, with the team expected to transition to a San Francisco office.

Work Authorization

Candidates must be able to work in the United States. Certain visa sponsorship, transfer, or change-of-status scenarios may be supported for candidates already located in the United States. New petitions requiring processing from abroad are not supported at this time.