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Computer Vision Researcher Jobs in California (NOW HIRING)

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

Job Summary * - To research and develop scalable computer vision and machine learning solutions to a hard problem * - To investigate and solve exciting and difficult challenges of the real-world ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA

$143.90K - $189.70K/yr

Research and implement multi-modal large models (image-text, image-audio, etc.) training, fine ... Design and optimize computer vision models and algorithms (e.g., detection, classification ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... Responsibilities : • Research and implement multi-modal large models (image-text, image-audio ...

Apple

Real-Time Computer Vision Architect

Sunnyvale, CA

$181.10K - $318.40K/yr

The Video Computer Vision and Video Engineering teams are centralized applied research and ... We balance research and product to deliver Apple quality, groundbreaking experiences, innovating ...

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Computer Vision Researcher information

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$29.6K

$111.6K

$162.3K

How much do computer vision researcher jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision researcher in California is $111,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $152,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Vision Researcher, you need a strong background in mathematics, machine learning, image processing, and typically a graduate degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python or C++), and familiarity with relevant research publications are highly valued. Creativity, problem-solving abilities, and strong communication skills help researchers innovate and effectively share findings. These competencies are vital for advancing technology, developing novel algorithms, and collaborating within multidisciplinary teams.

What are some common challenges faced by Computer Vision Researchers when transitioning from theoretical research to practical applications?

Computer Vision Researchers often encounter challenges when moving from theoretical models to real-world deployment, such as dealing with noisy or incomplete data, ensuring scalability, and optimizing models for real-time performance. Collaborative work with software engineers and domain experts is crucial to address these issues and to adapt state-of-the-art algorithms for production environments. Additionally, staying updated with rapidly evolving tools and frameworks is essential for successfully bridging the gap between research and application.

What does a Computer Vision Researcher do?

A Computer Vision Researcher develops algorithms and models that enable computers to interpret and understand visual information from the world, such as images and videos. They work on tasks like object detection, image segmentation, and facial recognition, often using techniques from machine learning and artificial intelligence. Their work is applied in fields such as autonomous vehicles, medical imaging, robotics, and augmented reality. Computer Vision Researchers typically conduct experiments, publish scientific papers, and collaborate with engineers to implement their findings in real-world applications.

What is the difference between Computer Vision Researcher vs Machine Learning Engineer?

AspectComputer Vision ResearcherMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Employer & Industry UsageUniversities, research institutions, AI-focused companiesTechnology firms, software companies, AI product development
Common Search & ComparisonYesYes

While both roles involve AI and machine learning, a Computer Vision Researcher primarily focuses on developing algorithms for visual data analysis and often works in research settings. In contrast, a Machine Learning Engineer applies machine learning techniques to build scalable AI products and solutions in industry environments.

What are popular job titles related to Computer Vision Researcher jobs in California? For Computer Vision Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Vision Researcher jobs in California look for? The top searched job categories for Computer Vision Researcher jobs in California are:
Computer Vision Researcher jobs near you
AI Research Scientist, Computer Vision

AI Research Scientist, Computer Vision

Meta

Menlo Park, CA

$154K/yr

Full-time

Posted yesterday

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 183 rated software companies

Job description

Meta is seeking Research Scientists to join Meta Superintelligence Labs (MSL) organization to work on making significant advances in AI. We are seeking researchers with experience in vision models, 3D reconstruction and generation, and general AI to join the team to investigate how to build spatial and physically-aware AI that will be the foundation for a new paradigm in how we interact and use computers. You will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners with a broad range of experiences, perspectives, approaches, and backgrounds and access cutting-edge technology, resources, and research facilities.
AI Research Scientist, Computer Vision Responsibilities:
  • Build models that can estimate underlying 3D properties from 2D observations
  • Conduct research and work with models in 3D reconstruction and generation
  • Define, build and benchmark new capabilities needed for the next generation of AI
  • Train and optimize state-of-the-art machine learning and neural network methodologies
  • Work with and create large datasets, and contribute to data annotation engines

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Language, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research Experience in deep learning, computer vision, robotics, or AI infrastructure
  • Experience with Python and PyTorch
  • Experience developing software and executing complex experiments
  • Experience communicating research for public audiences of peers
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Research experience with 3D reconstruction, 3D generation, and / or video processing and generation
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, ICCV, NeurIPS, SIGGRAPH, or similar
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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