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

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 ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

... deep learning experience • 5+ years of experience in Computer Vision and/or Machine Learning ... software engineering skills and prior web development experience using Javascript/TypeScript or ...

Booz Allen Hamilton

Computer Vision AI Engineer

El Segundo, CA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience * 5+ years of experience in Computer Vision ...

Hadrian Automation, Inc

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience * 5+ years of experience in Computer Vision ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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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?

Cities near Los Angeles, CA with the most Intern Computer Vision Deep Learning Engineer job openings:

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.

Machine Learning Engineer - Computer Vision & NLP

Voxelcloud

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.
Responsibilities:
  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications
Basic Qualifications
  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications
  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.
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