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Intern Computer Vision Deep Learning Engineer Jobs in Santa Barbara, CA

Comfort learning new tools and working in a lab or test environment. * Ability to work on site in ... at a computer. * Ability to work in an engineering laboratory environment including sitting ...

Senior Design Engineer

Ventura, CA · Hybrid

$118K - $135K/yr

Experimenter - comfortable testing, failing, iterating, and learning quickly to push concepts ... Deep understanding of material properties and their impact on product construction and performance

Senior Design Engineer

Ventura, CA · On-site

$118K - $135K/yr

Experimenter - comfortable testing, failing, iterating, and learning quickly to push concepts ... Deep understanding of material properties and their impact on product construction and performance

Bachelor's Degree in Computer Science, Computer Engineering or related field. * Advanced experience ... Ability to write clear, grammatically correct documents with logical structure and deep technical ...

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Intern Computer Vision Deep Learning Engineer information

See Santa Barbara, CA salary details

$9

$18

$27

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

As of Jul 14, 2026, the average hourly pay for intern computer vision deep learning engineer in Santa Barbara, CA is $18.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $21.39 per hour, depending on experience, location, and employer.

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 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 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, and why are they important?

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 are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Santa Barbara, CA? For Intern Computer Vision Deep Learning Engineer jobs in Santa Barbara, CA, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Santa Barbara, CA look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Santa Barbara, CA are:
What cities near Santa Barbara, CA are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near Santa Barbara, CA with the most Intern Computer Vision Deep Learning Engineer job openings:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Santa Barbara, CA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 3% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $39,428 per year, or $19 per hour.
Algorithm Developer with Security Clearance

Algorithm Developer with Security Clearance

Toyon Research Corporation

Goleta, CA • On-site

$120K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description


Algorithm Developer Toyon Research Corporation Algorithm Developer Goleta, CA Description U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required. This position is in person. Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for image/video, radar, and other signal processing applications. We are looking for algorithm and software developers with experience and/or an educational background in: signal processing, machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics. Requirements Candidates should have a strong background in engineering, computer science, physics, and/or applied mathematics. An advanced degree (M.S./Ph.D.) or a Bachelor’s degree and at least two years of industry experience are required. Experience with software development using the Python and/or C++ computer languages and experience with collaborative development with other team members is required. Experience developing and testing algorithms for processing real-world image or radar data is strongly desired. Experience with wave physics (RF, acoustic, optical) is strongly desired. WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE! * Competitive Industry Pay
* 100% Employer-Paid Medical Insurance Premium
* HSA with Employer Contributions
* Dental and Vision Coverage Options
* Paid Holidays
* Paid Vacation and Sick leave
* Company Funded 401(k) and Profit Sharing Plans
* Employee Stock Ownership Plan (ESOP)
* Life and Disability Insurance  
* Paid Parental Leave
* Discretionary Bonus Eligibility
The annual pay range for the Algorithm Developer position is $120,000 to $200,000. The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate’s education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.  Equal Opportunity Employer including Disability and Veterans   Applicant Privacy Notice  Learn more about our company in our latest video, We are Toyon.  Ref #2617-C