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Evening Computer Vision Deep Learning Engineer Jobs in Fairfield, CA

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... Deep Learning, Platform, and Product teams * Mentor junior and mid-level engineers through code ...

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Apply the latest in generative AI , computer vision , and multimodal learning to scientific contexts. * Collaborate with ML researchers, engineers, and product designers to move from experimentation ...

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Fairfield, CA

Evening Computer Vision Deep Learning Engineer information

See Fairfield, CA salary details

$49.4K

$123.7K

$139.9K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for evening computer vision deep learning engineer in Fairfield, CA is $123,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $133,800.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Fairfield, CA? For Evening Computer Vision Deep Learning Engineer jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Fairfield, CA look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities near Fairfield, CA with the most Evening Computer Vision Deep Learning Engineer job openings:
Evening Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Re-posted 29 days ago

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping, implementation, measurement, and iteration. You will implement state-of-the-art deep learning techniques to help develop innovative AI products.

As a ML Engineer, you will:

  • Work with the research team to improve the visual search products
  • Train models with curated data to evaluated and ultimately improve performance
  • Deploy production-ready models to customers
  • Help maintain the machine learning infrastructure

For this role you will need:

  • MS. Degree
  • Experience with Python
  • Computer Vision or NLP experience
  • Experience debugging complex systems.
  • (Kuberentes or Docker experience would be a plus).

This is an amazing opportunity to join a team and work on large projects using powerful computer vision/deep learning technology.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.