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Computer Vision Deep Learning Jobs (NOW HIRING)

Adapt Talent

TLM - Computer Vision

Los Angeles, CA · On-site

$19.75 - $26.25/hr

We focus on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies ...

Adapt Talent

TLM - Computer Vision

Mountain View, CA · On-site

$21.25 - $28.50/hr

We focus on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies ...

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 ...

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Computer Vision Deep Learning information

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$33.5K

$48.3K

$63.5K

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

As of Jun 24, 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

TLM - Computer Vision

Adapt Talent

Los Angeles, CA • On-site

$19.75 - $26.25/hr

Other

Posted 3 days ago

Job description

Tech Lead Manager, Computer Vision

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

We focus on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies to various ByteDance products. We are looking for talents at all levels to join us on this exciting journey!

• Lead the cutting-edge research and development related to computer vision, machine learning and other related fields.

• Provide technical leadership, drive projects and define long term technical roadmap for the team, including business strategy, technology development, as well as team planning and management.

• Transfer advanced technologies to ByteDance products.

Position Requirements:

  • Masters or PhD in computer science, mathematics, engineering with 5 years of related working experience.
  • Experience in managing or tech-leading a team in a dynamic environment with record of shipping technologies to products.
  • Advanced research and development experience in computer vision/deep learning (preferring candidates with publications on top-tier venues such as CVPR, ICCV, ECCV, etc).
  • Strong analytical and problem solving skills.
  • Strong communication and teamwork skills.
  • Ability to work collaboratively in multi-functional teams.
  • Experienced in implementing and optimizing complex and performance-critical systems.
  • Self-motivated and strong problem-solving skills.

Apply