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Computer Vision Engineer Jobs in Los Angeles, CA

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from ...

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Computer Vision Engineer information

See Los Angeles, CA salary details

$52.3K

$130.9K

$148.2K

How much do computer vision engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for computer vision engineer in Los Angeles, CA is $130,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $141,700.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Los Angeles, CA?

The most popular types of Computer Vision Engineer jobs in Los Angeles, CA are:

What are popular job titles related to Computer Vision Engineer jobs in Los Angeles, CA?

For Computer Vision Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Computer Vision Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Vision Engineer jobs?

Cities near Los Angeles, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Los Angeles, CA 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 $130,934 per year, or $62.9 per hour.

Computer Vision Engineer

Los Angeles, CA • On-site

Observable Space
See more jobs at Observable Spaceexternal

$190K - $230K/yr

Full-time

Posted 2 days ago

New

Job description

We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO.
Responsibilities
  • Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.
  • Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.
  • Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
  • Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.
  • Design and generate simulated data for rapid testing of proof of concept algorithms.
  • Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.
  • Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.
  • Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.

Basic Qualifications
  • 10+ years of experience in a relevant commercial or academic research field.
  • Strong foundation in mathematics or computational mathematics.
  • Strong and demonstrated programming ability in C++ or C in a professional environment
  • Demonstrated experience in first principles engineering and science.
  • Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.
  • Experience in machine learning model training using PyTorch or TensorFlow.
  • Experience in classical vision techniques with an emphasis on OpenCV.

Preferred Qualifications
  • Masters or Ph.D. in Engineering, Mathematics, or a related field of study.
  • Experience in machine learning model training using PyTorch or TensorFlow.
  • Knowledge or experience in astrodynamics.

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