ZipRecruiter

Log In

1

Computer Vision Deep Learning Engineer Jobs in San Francisco, CA

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

They are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced ... Responsibilities : • Develop and optimize deep learning models for depth estimation, object ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Develop and optimize deep learning models for depth estimation, object detection, segmentation ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

... and computer vision team to design, develop, and implement critical machine learning models ... Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow)

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ...

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Strong fundamentals in computer vision and deep learning -- segmentation, detection, classification ...

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ... Strong fundamentals in computer vision and deep learning - segmentation, detection, classification ...

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

Required : • 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision ... data engineering, model tuning, and model serving • Technical expertise demonstrated through ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision Deep Learning Engineer JobsComputer Vision Deep Learning Engineer Jobs in San Francisco, CA

Computer Vision Deep Learning Engineer information

See San Francisco, CA salary details

$57.1K

$143.2K

$162K

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

As of Sep 6, 2026, the average yearly pay for computer vision deep learning engineer in San Francisco, CA is $143,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $154,900.00 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 popular job titles related to Computer Vision Deep Learning Engineer jobs in San Francisco, CA?

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

What job categories do people searching Computer Vision Deep Learning Engineer jobs in San Francisco, CA look for?

The top searched job categories for Computer Vision Deep Learning Engineer jobs in San Francisco, CA are:

Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $143,166 per year, or $68.8 per hour.

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 26 days ago

Job description


AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.

Apply