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Computer Vision Deep Learning Engineer Jobs in California

PROPRIUS

Machine Learning Engineer

San Francisco, CA · On-site

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... computer vision/deep learning technology. PROPRIUS is an AI Industry recruiting firm. We're lucky ...

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

$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 Inc.

Deep Learning Engineer

Palo Alto, CA · On-site

$150 - $200/hr

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

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 ...

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 ...

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All JobsComputer Vision Deep Learning Engineer JobsComputer Vision Deep Learning Engineer Jobs in California

Computer Vision Deep Learning Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

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

As of Sep 8, 2026, the average yearly pay for computer vision deep learning engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a computer vision deep learning engineer?

A Computer Vision Deep Learning Engineer designs, develops, and optimizes deep learning models for tasks like image recognition, object detection, and segmentation. They work with large datasets, train neural networks, and fine-tune models to achieve high accuracy. The role involves using frameworks like TensorFlow or PyTorch, implementing computer vision algorithms, and deploying models for real-world applications. Strong programming skills in Python and experience with deep learning techniques are essential.

What are the key skills and qualifications needed to thrive as a computer vision deep learning engineer?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in machine learning, computer vision, mathematics, and programming (usually Python or C++), often supported by a relevant degree such as computer science, electrical engineering, or a related field. Experience with frameworks like TensorFlow, PyTorch, OpenCV, and familiarity with cloud computing environments or GPU acceleration are typically essential, with additional value from certifications in AI or deep learning. Strong problem-solving abilities, teamwork, and clear communication are valuable soft skills for collaborating on complex research and product development projects. These skills and qualifications ensure effective design, implementation, and integration of state-of-the-art computer vision solutions within multidisciplinary teams and real-world applications.

What are some typical challenges faced by computer vision deep learning engineers in their daily work?

Computer Vision Deep Learning Engineers often face challenges such as handling large, complex datasets, tuning deep learning models to achieve high accuracy, and optimizing processing speed for real-time applications. They may encounter difficulties with noisy or incomplete data, require advanced troubleshooting when models underperform, and must stay updated with rapid advancements in the field. Collaboration with data scientists, software engineers, and product teams is common, so balancing technical depth with effective communication is key. Overcoming these challenges requires strong analytical skills, continuous learning, and a proactive problem-solving mindset.

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 Computer Vision Deep Learning Engineer jobs in California?

For Computer Vision Deep Learning Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Vision Deep Learning Engineer jobs in California look for?

The top searched job categories for Computer Vision Deep Learning Engineer jobs in California are:

What cities in California are hiring for Computer Vision Deep Learning Engineer jobs?

Cities in California with the most Computer Vision Deep Learning Engineer job openings:

Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in California as of September 2026, with employment types broken down into 1% As Needed, 61% Full Time, 33% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Autonomy Engineer Intern, Computer Vision, Deep Learning

San Mateo, CA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $200/hr

Other

Posted yesterday

New

Job description


  • Architect and implement computer vision algorithms running on Skydio-powered drones

  • Assume direct ownership of a project that advances the team and products

  • Enable research and development of intelligent systems with advanced autonomous capabilities

  • Research, prototype, and assess the feasibility of new approaches

  • Imagine and implement new features for users

  • Characterize and quantify performance of core software and hardware components

  • Collaborate with core software development team members and computer vision/deep learning researchers


Requirements

  • High proficiency in C++ and/or Python and PyTorch

  • Demonstrated enthusiasm for one or more of: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure

  • Solid software engineering foundation

  • Commitment to writing clean, well-architected code

  • Strong foundation in math and theory

  • Ability to thrive in a fast-paced, collaborative, small team environment

  • For positions located in the United States, employment eligibility is verified through E-Verify


Core Competencies

Demonstrates expertise in architecting and implementing computer vision algorithms, with a strong foundation in C++ and Python, particularly using PyTorch. Capable of collaborating effectively in a fast-paced environment while advancing intelligent systems and autonomous capabilities.


Highest-signal resume keywords

  • C++ Programming

  • Python Programming

  • PyTorch Framework

  • Computer Vision

  • Deep Learning


Hard Skills

  • C++ Programming

  • Python Programming

  • PyTorch Framework

  • Software Engineering

  • Mathematics

  • Algorithm Development

  • Performance Characterization

  • Motion Planning

  • 3D Graphics

  • Distributed Systems


Soft Skills

  • Collaboration

  • Enthusiasm

  • Adaptability

  • Teamwork


Industry Keywords

  • Computer Vision

  • Deep Learning

  • Autonomous Systems

  • E-Verify

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