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Computer Vision Deep Learning Engineer Jobs in San Francisco, CA

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 ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

A background in Computer Science, Mathematics, Electrical Engineering or a related field (BS, MS ... Vision insurance * Dental insurance * Commuter benefits * Disability insurance * Paid maternity ...

Clera

Robot Learning Engineer

San Francisco, CA · On-site

... for a Robot Learning Engineer to join a small, ambitious team working at the frontier of ... Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors ...

Clera

Robot Learning Engineer

San Francisco, CA · On-site

... for a Robot Learning Engineer to join a small, ambitious team working at the frontier of ... Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors ...

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 ...

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 ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ... Experience with Python and deep learning frameworks such as PyTorch. * Understanding of machine ...

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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 Aug 11, 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 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 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 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,166 per year, or $68.8 per hour.

Machine Learning Engineer

PROPRIUS

San Francisco, CA • On-site

Full-time

Re-posted 27 days ago

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.