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Computer Vision Machine Learning Jobs in Los Angeles, CA

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 ...

Advanced degree in a quantitative field such as electrical and computer engineering, physics ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

Who You Are * Master's degree or PhD in Computer Science, Statistics, Applied Mathematics ... Dental & vision insurance * 401(k) matching * Stock options * Discretionary PTO * Complimentary gym ...

Who You Are * Master's degree or PhD in Computer Science, Statistics, Applied Mathematics ... Dental & vision insurance * 401(k) matching * Stock options * Discretionary PTO * Complimentary gym ...

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Computer Vision Machine Learning information

See Los Angeles, CA salary details

$13

$21

$32

How much do computer vision machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for computer vision machine learning in Los Angeles, CA is $21.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $23.56 per hour, depending on experience, location, and employer.

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

To thrive as a Computer Vision Machine Learning Engineer, you need strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Computer Vision Machine Learning engineers when deploying models to production environments?

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

What is the difference between Computer Vision Machine Learning vs Data Scientist?

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.
What are popular job titles related to Computer Vision Machine Learning jobs in Los Angeles, CA? For Computer Vision Machine Learning jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning jobs in Los Angeles, CA look for? The top searched job categories for Computer Vision Machine Learning jobs in Los Angeles, CA are:
Infographic showing various Computer Vision Machine Learning job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $44,640 per year, or $21.5 per hour.
Signal and Image Processing Scientist

Signal and Image Processing Scientist

Arete

Northridge, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

At Areté, we are on the forefront of developing innovative solutions, with great minds from all backgrounds, to help solve the nation's most complex security challenges. We strive for an inclusive, collaborative team environment that approaches differences as opportunities for innovation and excellence. As an employee-owned company, we foster an atmosphere that propels diverse career opportunities and professional growth.
Discover your future with us.
We are seeking a mid-level Scientist with a strong background in Math, Physics, and Scientific Computing. The successful candidate will join a staff of signal/image processing scientists and software engineers that support the development of signal and image processing algorithms and software. In this position you will analyze data, evaluate existing algorithm performance, develop and prototype new algorithms or enhancements to existing algorithms and work with software engineers to implement the algorithms into robust and highly performant software. The successful candidate may ultimately be utilized in one or more of the following areas: ocean remote sensing, signal/image processing, state estimation, detection and tracking, computer vision, machine learning, physics-based modeling and simulation, data analysis, and sensor characterization.
This position is based in our Northridge, CA office and is a non-exempt, non-supervisory, full-time position
We have an impressive range of benefits, programs, and perks that we offer:
Health & Wellness:
  • Medical, Dental & Vision Insurance
  • Life and Long-Term Disability (LTD)
  • Vision Reimbursement
  • Fitness Reimbursement
Financial:
  • Company-funded 5% contribution to your 401(k) retirement plan
  • Company-funded 5% contribution to your Employee Stock Ownership Plan
  • Continuing Education Assistance

Work-Life Balance:
  • Flexible Scheduling
  • Paid Time Off (PTO)
  • Paid Parental and Bereavement Leave
What We Value:
  • Creativity and innovation in solving challenges
  • Integrity and responsibility in all actions
  • Collaboration across teams and specialties
  • Responsiveness in fast-paced environments
  • Passion for national security and excellence
Experiences and Background We Look For (Required Skills):
  • The ideal candidate will have recently completed a PHD or Postdoc in a STEM discipline
  • Demonstrated experience with signal processing, image processing, computer vision, or machine learning
  • Experience programming in Python, MATLAB, or similar languages
  • Experience programming in C or C++
  • Proficiency integrating and querying databases (e.g., SQL or NoSQL) from Python or C/C++ applications
  • Intellectual curiosity and a desire for continuous learning
  • Ability to work with minimal supervision and collaborate with small teams
  • Excellent written and verbal communication skills\
  • Willingness to work onsite in the office 100%
  • Must be able to obtain and maintain a TS/SCI security clearance and meet customer-specific security screening requirements that could include a CI Polygraph
Nice to Have (Preferred Skills):
  • Experience working in a Linux environment
  • Physics-based modeling and simulation experience
  • Remote sensing experience utilizing Electro-Optics or Synthetic Aperture RADAR
  • Computer vision, image and data fusion, image classification or automated target recognition
  • Parallel programming experience (threads, MPI, CUDA, etc.)
  • Active Top Secret Clearance
The salary range for this role depends on the candidate's level of experience:
  • Scientist 1: $90,000 - $110,000 [required: BS degree or higher]
  • Scientist 2: $105,000 - $130,000 [required: BS + 2 years' experience OR MS degree]
  • Staff Scientist: $125,000 - $150,000 [required: PhD or BS + 5 years of relevant experience]
However, Arete considers several factors when extending an offer of employment, including but not limited to the position and associated responsibilities, a candidate's work experience, education/training, and key skills.
Other Considerations
Areté is committed to the principles of equal employment opportunity and nondiscrimination, and we believe every person has the right to be treated with fairness, dignity, and equal consideration.
Areté is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.
U.S. citizenship is required to meet position eligibility.
Successful passage of a criminal background screen is required to meet position eligibility.
Selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Areté will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring.
Successful passage of a Department of Transportation (DOT) drug test is required to meet position eligibility.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our website because of your disability. To request an accommodation, please contact Areté Human Resources at 818-885-2200 for assistance.PandoLogic. Keywords: Image Processing Engineer, Location: Northridge, CA - 91324