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Computer Vision Machine Learning Jobs in Los Angeles, CA

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

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 ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

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Steg.AI

VP of Engineering

Irvine, CA · On-site

$180 - $280/hr

This is a challenging role that requires expert level skills in computer vision/machine learning, software engineering, and people management.Steg.AI's mission is to protect and authenticate digital ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex ...

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All JobsComputer Vision Machine Learning JobsComputer Vision Machine Learning Jobs in Los Angeles, CA

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 Aug 29, 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 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 the key skills and qualifications needed to thrive as a computer vision machine learning engineer?

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.

Is machine learning used in computer vision?

Yes, machine learning is fundamental to computer vision, enabling systems to interpret and analyze visual data such as images and videos. Computer vision professionals often use techniques like deep learning and neural networks to develop applications like object detection, facial recognition, and image classification.

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:

Computer Vision Machine Learning jobs near you
Infographic showing various Computer Vision Machine Learning job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,640 per year, or $21.5 per hour.

Research Scientist (Computer Graphics, Vision and Machine Learning)

Scanline VFX LA, LLC

Los Angeles, CA • On-site

$100 - $140/hr

Other

Posted 10 days ago

Job description

Overview

We are seeking a highly skilled Research Scientist with a strong background in computer vision, computer graphics, and machine learning. This role is ideal for candidates passionate about generating high‑quality images and advancing the state of the art in dynamic scene capture, reconstruction, and novel view synthesis.

Responsibilities
  • Conduct applied research in computer graphics and machine learning, focusing on high‑fidelity reconstruction and photorealistic image synthesis.
  • Design, implement, and evaluate novel algorithms for Dynamic Gaussian Splatting, 3D reconstruction, and performance capture.
  • Lead high‑quality data acquisition and curation efforts to support next‑generation machine learning algorithms for VFX and virtual production.
  • Prepare and publish research at top‑tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR).
  • Collaborate closely with engineering, production, and business teams to integrate research outcomes into production workflows, aiming for production‑quality results rather than research demos.
  • Identify and champion new research directions that can have significant impact on content creation and virtual production.
Qualifications
  • PhD in Computer Graphics, Computer Vision, Machine Learning, or a closely related field (required).
  • Strong publication record as first author at top‑tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR).
  • Deep expertise in computer graphics and machine learning, with demonstrated experience in 3D reconstruction, dynamic scene capture, and photorealistic rendering.
  • Hands‑on experience with Dynamic Gaussian Splatting, 3D reconstruction techniques, and either diffusion models (image/video) or transferable experience with transformer architectures.
  • Strong interest and attention to detail in image and signal processing, with a drive to achieve high‑quality, production‑ready results.
  • Exceptional interpersonal and communication skills, with the ability to work collaboratively in a fast‑paced, multidisciplinary environment.
  • High level of ownership, initiative, and a positive, problem‑solving attitude.
  • Passion for movies, TV, and storytelling (preferred).
EEO Statement

We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.

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