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Contractual Computer Vision Engineer Jobs in Simi Valley, CA

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

About The Role 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 ...

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

Research Engineer

Los Angeles, CA · On-site

$92K - $95K/yr

... computer vision, AI and integration of neuronal morphology methods, statistics and image analysis ... contractual stipulations, grant funding, as well as external market and organizational ...

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Contractual Computer Vision Engineer information

See Simi Valley, CA salary details

$50.1K

$125.4K

$141.9K

How much do contractual computer vision engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for contractual computer vision engineer in Simi Valley, CA is $125,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $135,700.00 per year, depending on experience, location, and employer.

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

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are popular job titles related to Contractual Computer Vision Engineer jobs in Simi Valley, CA?

For Contractual Computer Vision Engineer jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Contractual Computer Vision Engineer jobs in Simi Valley, CA look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Contractual Computer Vision Engineer jobs?

Cities near Simi Valley, CA with the most Contractual Computer Vision Engineer job openings:

Infographic showing various Contractual Computer Vision Engineer job openings in Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $125,440 per year, or $60.3 per hour.

Computer Vision Engineer

Observable Space

Los Angeles, CA • On-site

$190K - $230K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

About Observable Space
At Observable Space, we're redefining how humanity observes and connects with the universe. We're a vertically integrated, high-growth, space technology company building industry-leading precision optics platforms for Earth and in space. Our systems are trusted by thousands of customers, including NASA, JPL, SpaceX, Boeing, RTX, the US Space Force and the U.S. Department of War, leading research institutions and international partners.
We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer-friendly APIs into world class products at scale with in-house manufacturing. From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed compute platforms, we deliver the foundational systems enabling continuous, real-time navigation, observation, and communication in space.
Observable Space is backed by top-tier institutional investors including Lux Capital, Upfront Ventures, RTX Ventures, Detroit Venture Partners and Embedded Ventures. To learn more, visit observable.space.
About The Role
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.
What We Offer
Competitive Compensation - A salary package aligned with industry standards and your experience.
Equity Opportunities - Take part in our success with stock options.
Flexible Work Environment - Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only)
Unlimited PTO (exempt only) - Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves.
Health & Wellness - Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees.
Cutting-Edge Tools - Get access to the latest hardware and software you need to do your best work.
Mission-Driven Culture - Be part of a team working on meaningful challenges with real-world impact.
Inclusive Team - We foster a supportive and diverse workplace where all voices are valued.
Observable Space is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.