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Intern Computer Vision Deep Learning Engineer Jobs in Vista, CA

General Atomics

Machine Learning Engineer

Poway, CA · On-site

Applies deep learning technologies to give computers the capability to visualize, learn and respond ... Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or ...

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA

$110K - $152K/yr

This role applies deep knowledge of advanced artificial intelligence and machine learning ... processing and computer vision, image and pattern recognition. * Demonstrated knowledge and ...

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

This role applies deep knowledge of advanced artificial intelligence and machine learning ... processing and computer vision, image and pattern recognition. * Demonstrated knowledge and ...

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

This role applies deep knowledge of advanced artificial intelligence and machine learning ... processing and computer vision, image and pattern recognition. * Demonstrated knowledge and ...

Qualcomm

EVA Systems Engineer

San Diego, CA · On-site

$150 - $200/hr

General Summary Qualcomm's Computer Vision Systems team is building the intelligence behind the ... Hands‑on experience with modern deep learning architectures. * Strong coding skills in Python and ...

Qualcomm

EVA Systems Engineer

San Diego, CA · On-site

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... Hands-on experience with modern deep learning architectures. * Strong coding skills in Python and C ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Vista, CA

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 Sep 8, 2026, the average hourly pay for intern computer vision deep learning engineer in Vista, CA is $17.41, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.66 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 popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Vista, CA?

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What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Vista, CA look for?

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What cities near Vista, 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 Vista, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,222 per year, or $17.4 per hour.

Senior Machine Learning Engineer, Simulation Evaluation

Waymo

San Diego, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 26 days ago

Job description

The Challenge

Waymo's simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"?

We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver.

You will:

  • Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo.
  • Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation. 
  • Evaluate open-source and production-ready video generation techniques that measure realism (e.g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.)
  • Apply vision language models to evaluate semantic understanding and controllability across our world simulation products.
  • Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems.
  • Mentor engineers on the team and provide technical guidance on architecture and execution.

You have:

  • Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field.
  • Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications.
  • Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch.
  • Experience designing and implementing evaluation frameworks for complex systems or machine learning models.

We prefer:

  • Track record of training large-scale generative models (diffusion models, flow matching, vision language models, etc.)
  • A PhD and demonstrated success delivering machine learning products focused on 3D generative models, world models, or video generation.
  • Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes.
  • Experience developing autonomous systems, robotics software, or autonomous vehicle simulations.
  • Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving.
  • Professional experience writing C++ for high-performance production systems.

Apply