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Contractual Computer Vision Engineer Jobs in Simi Valley, CA

HeyGen

Research Engineer

Los Angeles, CA · On-site

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

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All JobsContractual Computer Vision Engineer JobsContractual Computer Vision Engineer Jobs in Simi Valley, CA

Contractual Computer Vision Engineer information

See Simi Valley, CA salary details

$50.1K

$125.4K

$141.9K

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

As of Aug 17, 2026, the average yearly pay for contractual computer vision engineer in Simi Valley, CA is $125,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $135,700.00 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 popular job titles related to Contractual Computer Vision Engineer jobs in Simi Valley, CA?

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

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

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

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

Cities near Simi Valley, 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 Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $125,440 per year, or $60.3 per hour.

Machine Learning Engineer - Computer Vision & NLP

Voxelcloud

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.
Responsibilities:
  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications
Basic Qualifications
  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications
  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.
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