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Computer Vision Deep Learning Engineer Jobs in California

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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

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 ...

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

  • Medical

  • Retirement

  • PTO

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... Design, implement, and deploy computer vision and multimodal deep learning models for Skydio ...

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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 Aug 19, 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Senior Machine Learning Engineer, Perception

Medium

Santa Clara, CA • On-site

$150 - $250/hr

Other

Retirement

Posted yesterday

New

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.

Responsibilities
  • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
  • Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
  • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
  • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills
  • Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
  • Ph.D. new grad or Masters + 3 years industry experience
  • Proficiency in Python and experience building deep learning pipelines.
  • Strong expertise in PyTorch, TensorFlow, or JAX.
  • Proven experience with LiDAR-based 3D perception and BEV representation models
  • Deep understanding of multimodal sensor fusion architectures and techniques.
  • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
  • Solid foundation in computer vision, deep learning, and 3D geometry.
Preferred Skills
  • Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
  • Hands-on experience developing deep learning models in real-world or production environments.
  • Experience with distributed training, high-performance computing, or GPU acceleration.

$150,000 - $250,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

Your opportunities joining PlusAI
  • Work, learn and grow in a highly future-oriented, innovative and dynamic field.
  • Wide range of opportunities for personal and professional development.
  • Catered free lunch, unlimited snacks and beverages.
  • Highly competitive salary and benefits package, including 401(k) plan.
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