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Intern Computer Vision Deep Learning Engineer Jobs in Los Angeles, CA

Phase2 Technology

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

As a programmer, you know that machine learning is critical to understanding and processing massive ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ... Experience supporting deep learning workflows in production environments. * Exposure to ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ... Experience supporting deep learning workflows in production environments. * Exposure to ...

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Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for intern computer vision deep learning engineer in Los Angeles, CA is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.72 per hour, depending on experience, location, and employer.

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

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

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

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

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

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

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

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Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,182 per year, or $18.4 per hour.

Software Engineer, Perception

Anduril Industries

Costa Mesa, CA

Full-time

Re-posted 5 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,610 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE TEAM

The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

ABOUT THE JOB

We are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve our most challenging perception problems for our UAVs, bringing deep expertise in Object Detection, Object Tracking, or related perception domains. This role requires hands-on proficiency in C++ and/or Python within a Linux environment. If you are passionate about tackling complex technical challenges in computer vision and perception, we encourage you to apply.

This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided).

WHAT YOU'LL DO
  • Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field.
  • Develop and maintain core libraries and runtime applications.
  • Integrate classical and geometric methods in computer vision with ML methods.
  • Work with ML and Data Infra team to construct various benchmarks for analyzing system performance.

REQUIRED QUALIFICATIONS
  • MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision.
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field.
  • 2+ years experience developing and benchmarking ML algorithms on large-scale datasets.
  • High proficiency in C++ development in a Linux environment.
  • Experience deploying models with TensorRT and ONNX.
  • Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow.
  • Experience writing and maintaining automated continuous integration tests.
  • Experience in one or more of the following:
    • Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection.
  • Experience in one or more of the following:
    • Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
  • Experience troubleshooting and analyzing remotely deployed software systems.
  • Proficient in Python.
  • Proficient in CUDA.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media

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