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Contractual Computer Vision Deep Learning Engineer Jobs in California

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

Apple

Computer Vision & Machine Learning Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

We are looking for engineers with expertise in deep learning-focused computer vision for human understanding, motion synthesis, visual recognition, biometric algorithms, and 3D perception systems. In ...

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Contractual Computer Vision Deep Learning Engineer information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle some tasks, MLEs are essential for creating and maintaining complex systems. AI may augment their work, but it is unlikely to fully replace the need for skilled professionals who understand data, algorithms, and deployment environments.

What engineers make $300,000 a year?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Compensation often includes base salary, bonuses, and stock options, and typically requires advanced degrees and a strong track record of project success.

What engineer makes $500,000 a year?

A Contractual Computer Vision Deep Learning Engineer can earn $500,000 or more annually, especially with extensive experience, specialized skills in deep learning frameworks like TensorFlow or PyTorch, and working on high-impact projects for leading tech companies or research institutions. Such roles often require advanced degrees, strong programming skills, and a track record of successful deployments in AI applications.

What engineers make $200,000 a year?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $200,000 or more annually. These roles often require a strong educational background, specialized certifications, and work in high-demand industries such as technology, autonomous vehicles, or healthcare AI.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in California? The most popular types of Computer Vision Deep Learning Engineer jobs in California are:
What are popular job titles related to Contractual Computer Vision Deep Learning Engineer jobs in California? For Contractual Computer Vision Deep Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Vision Deep Learning Engineer jobs in California look for? The top searched job categories for Contractual Computer Vision Deep Learning Engineer jobs in California are:
What cities in California are hiring for Contractual Computer Vision Deep Learning Engineer jobs? Cities in California with the most Contractual Computer Vision Deep Learning Engineer job openings:
Contractual Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Contractual Computer Vision Deep Learning Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Re-posted yesterday

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.