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3D Computer Vision Jobs in California (NOW HIRING)

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Computer Vision Engineer

Menlo Park, CA · On-site

$131K - $155K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Process high-frame-rate, multi-camera data to generate accurate 3D trajectories and impact insights ... or related field * 3+ years of computer vision experience in real-time, product-focused ...

Showing results 21-40

3D Computer Vision information

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are the key skills and qualifications needed to thrive as a 3d computer vision engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are some common challenges faced by 3D computer vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.

What are popular job titles related to 3D Computer Vision jobs in California?

For 3D Computer Vision jobs in California, the most frequently searched job titles are:

What job categories do people searching 3D Computer Vision jobs in California look for?

The top searched job categories for 3D Computer Vision jobs in California are:

What cities in California are hiring for 3D Computer Vision jobs?

Cities in California with the most 3D Computer Vision job openings:

Infographic showing various 3D Computer Vision job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Computer Vision and Machine Learning Engineer

Apple

Sunnyvale, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing.
We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.
Description
We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product.
In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and resonate with our users at a personal level.
Preferred Qualifications
Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery
Minimum Qualifications
Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976