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Computer Vision Machine Learning Jobs in Los Angeles, CA

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$124K - $163K/yr

OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu ... computer vision models for real-time manufacturing inspection and defect detection • Strong ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience with computer vision and/or robotics * Experience with databases and their tools ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience with computer vision and/or robotics * Experience with databases and their tools ...

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $190K/yr

Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands-on experience in machine learning and AI; or a Ph.D. in a relevant ...

D. in Electrical Engineering, Computer Science, or a related field. * Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine ...

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Computer Vision Machine Learning information

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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.
Data Scientist Machine Learning

Data Scientist Machine Learning

Rule14

Santa Monica, CA • On-site

$75K - $100K/yr

Full-time

Medical

Re-posted 6 days ago


Job description

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.

Responsibilities

  • Develop and train machine learning models for various applications
  • Perform feature engineering to enhance model performance
  • Select appropriate algorithms based on project requirements
  • Tune and optimize model performance for deployment
  • Clean and preprocess data to ensure model accuracy
  • Design experiments to validate and improve model outcomes
  • Collaborate within a small team to integrate machine learning solutions
  • Manage end-to-end deployment of machine learning models

Preferred Qualifications

  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with SQL for data querying and manipulation
  • Strong skills in statistical analysis and data visualization
  • Critical thinking and effective communication abilities

Company Description

Rule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.
Whether helping businesses gain insight on customer loss prevention, designing targeted revenue enhancement campaigns, or uncovering fraud, waste and abuse within government programs, Rule14 empowers organizations assessing massive amounts of data for real-time decision-making.
Nventr.ai focuses on applying artificial intelligence to real-world operational environments where reliability, speed, and accuracy are critical. The company builds systems that integrate AI directly into day-to-day workflows, enabling better decision-making, automation, and coordination between software and physical operations.

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About Rule14

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2011