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Intern Computer Vision Deep Learning Engineer Jobs in Vista, CA

... engineering, and product teams. Responsibilities: * Research, prototype, and develop state-of-the-art computer vision and deep learning models spanning detection, segmentation, tracking, and vision ...

Senior Machine Learning Engineer, Robotics

San Diego, CA · On-site

$110K - $152K/yr

... deep learning, while collaborating with hardware and systems engineers. If you're a software ... Experience with Computer Vision and Machine Learning * Experience with System Integration We prefer:

Machine Learning Engineer III

San Diego, CA · On-site

$116K - $208K/yr

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

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

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 ...

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 ...

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

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 ...

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

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

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 ...

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 ...

Showing results 41-60

Intern Computer Vision Deep Learning Engineer information

See Vista, CA salary details

$9

$17

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

As of Aug 17, 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?

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

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

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Vista, CA are:

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

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

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.

Sr. Research Data Scientist

Aicadium

San Diego, CA

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego, where our U.S. headquarters is located.
You'll drive applied R&D across the full research lifecycle from conducting original research and prototyping state-of-the-art models to refining and validating them using messy, real-world visual data.


The ideal candidate brings deep technical expertise in modern computer vision, strong research instincts, and the communication skills to work effectively across research, engineering, and product teams.

Responsibilities:

  • Research, prototype, and develop state-of-the-art computer vision and deep learning models spanning detection, segmentation, tracking, and vision-language tasks.
  • Translate recent research into working implementations, reproducing baselines, running ablations, and quantifying practical tradeoffs.
  • Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation, synthetic data generation, and quality analysis.
  • Collaborate closely with engineering and product teams to move models from prototype to production, including optimization for edge or latency-constrained environments.
  • Communicate methods, results, and tradeoffs clearly to both technical and non-technical stakeholders.

Skills & Requirements:

  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field, or a Bachelor's with equivalent research or industry experience.
  • Strong foundation in modern computer vision and deep learning: image classification, object detection, segmentation, and tracking across CNNs, Vision Transformers, vision-language models, and foundation models.
  • Solid grasp of deep learning fundamentals: supervised and self-supervised learning, representation learning, optimization, loss design, and rigorous model training and evaluation.
  • Demonstrated ability to read, implement, and build on recent research papers, turning literature into working prototypes.
  • Hands-on experience with real-world visual data: dataset curation, annotation, augmentation, synthetic data, data-quality analysis, and low-data or noisy-data settings.
  • Strong applied mathematics (linear algebra, probability, statistics, optimization) and proficiency in Python with PyTorch or equivalent deep learning framework.
  • Strong collaboration and communication skills - able to work across research, engineering, and product, and present technical work clearly to mixed audiences.


Nice to Have:

  • Proven ability to reproduce, evaluate, and extend recent research, including careful baseline comparisons, ablation studies, and tradeoff analysis.
  • Experience in robotic vision, vision-language-action systems, world models, imitation learning, reinforcement learning, or generative models for image, video, or simulation.
  • Familiarity with 3D geometry, camera models, coordinate frames, and calibration.
  • Publications at top-tier venues, open-source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI.
  • Hands-on experience deploying or optimizing models for production or edge environments - model compression, quantization, ONNX, TensorRT, or latency optimization.


About Us:

Aicadium is a global technology company delivering AI-powered industrial computer vision products into the hands of enterprises. With offices in Singapore and San Diego, California, and an international team of data scientists, engineers, and business strategists, Aicadium is operationalizing AI within organizations where advanced machine learning innovations were previously out of reach.


Team

Join a growing team of data scientists, machine learning, and software engineers in an agile development environment. Work together with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across a variety of industries and use cases.

Culture

We work in a casual and collaborative startup environment. Every member of the team plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with. We are building a hub of the best talent in San Diego, CA.


Benefits

Aicadium has a great benefits package to come with your salary. Benefits include PTO, Heath insurance, Vision and Dental Insurance, Life and AD&D, 401k with matching, and more!