ZipRecruiter

Log In

1

Computer Vision Deep Learning Jobs (NOW HIRING)

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

$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 ...

next page

Showing results 1-20

All JobsComputer Vision Deep Learning Jobs

Computer Vision Deep Learning information

See salary details

$33.5K

$48.3K

$63.5K

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

As of Jul 14, 2026, the average yearly pay for computer vision deep learning in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is computer vision deep learning?

Computer vision deep learning is a field of artificial intelligence that leverages deep neural networks to enable computers to interpret and understand visual information from the world, such as images and videos. By using deep learning techniques, such as convolutional neural networks (CNNs), systems can perform tasks like image classification, object detection, and facial recognition with high accuracy. This technology is widely applied in industries including healthcare, automotive, and security for tasks ranging from medical image analysis to autonomous driving.

What are some common challenges faced in a Computer Vision Deep Learning role, and how can they be addressed?

Professionals in Computer Vision Deep Learning often face challenges such as managing large, complex datasets, ensuring high model accuracy, and dealing with real-world variability in images or video. Addressing these issues typically involves data augmentation, careful preprocessing, and the use of advanced architectures like CNNs and transformers. Collaboration with data engineers and domain experts is essential to ensure data quality and to tailor solutions to specific use cases. Additionally, staying updated with the latest research and tools can help in overcoming technical hurdles and enhancing model performance.

What is the difference between Computer Vision Deep Learning vs Computer Vision Engineer?

AspectComputer Vision Deep LearningComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; knowledge of deep learning frameworksBachelor's or higher in CS or related fields; experience with computer vision algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on AI modelsSoftware development teams, product companies, tech firms applying computer vision
Employer & Industry UsageAI research, academia, companies developing deep learning models for vision tasksProduct development, application of computer vision in real-world projects

Computer Vision Deep Learning specialists focus on developing and applying deep learning models for visual data analysis, often involving research and model training. In contrast, Computer Vision Engineers implement and optimize computer vision algorithms within products and applications, emphasizing deployment and practical use. Both roles require a strong foundation in computer vision, but their focus areas and work environments differ.

What are the key skills and qualifications needed to thrive as a Computer Vision Deep Learning Engineer, and why are they important?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in mathematics, programming (especially Python), and deep learning concepts, often supported by a degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, OpenCV, and experience using GPU computing are highly valued, along with relevant certifications in machine learning or artificial intelligence. Strong analytical thinking, creative problem-solving, and effective communication skills set top candidates apart in this role. These competencies are essential for developing, optimizing, and deploying innovative computer vision solutions that address complex real-world challenges.
More about Computer Vision Deep Learning jobs
What job categories do people searching Computer Vision Deep Learning jobs look for? The top searched job categories for Computer Vision Deep Learning jobs are:
Computer Vision Deep Learning jobs near you
Infographic showing various Computer Vision Deep Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Deep Learning Engineer

Deep Learning Engineer

Matroid

Palo Alto, CA • On-site

$170K - $300K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Job description

About Matroid

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

What you'll do

  • Advance the computer vision and deep learning technology powering Matroid's computer vision platform
  • Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
  • Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it

  • Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Knowing that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table

  • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
  • Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
  • 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
  • Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
  • Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
  • Strong software engineering skills - you care deeply about the quality of your code
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if...

  • Specialization in CV, artificial intelligence, machine learning, or related fields
  • Significant computer vision & deep learning academic and/or research experience
  • Prior work experience with applied computer vision in real-world use-cases
  • Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
  • Previous work at high-growth technology startups

What we offer in return

  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.