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Evening Computer Vision Deep Learning Engineer Jobs in Fairfield, CA

Hive

Staff Machine Learning Engineer

San Francisco, CA

$200K - $300K/yr

We are looking for developers who are excited about staying at the forefront of deep learning ... computer vision or natural language processing * You can lead end to end development of new ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

We are looking for developers who are excited about staying at the forefront of deep learning ... computer vision or natural language processing * You can lead end to end development of new ...

Doxel

Senior Backend Software Engineer

San Francisco, CA · On-site

$175K - $220K/yr

We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web ... The Role As a full stack engineer at Doxel, you will help define and build the next generation of ...

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$200K - $260K/yr

... vision-based localization * Collaborate with deep learning, device, and cloud teams to improve ... Master of Science degree or the foreign equivalent in Electrical and Computer Engineering, Robotics ...

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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 Aug 6, 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:
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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:
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Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA • On-site

Temporary, Internship

Re-posted 29 days ago

Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!