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

Create CAD models and drawings using Autodesk Inventor (or equivalent) * Apply GD&T per ASME Y14.5 ... portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We ...

We are a collaborative, "egoless" team that thrives on continuous learning and pushing the ... Act as the lead architect during deep-dive technical reviews with customer CTOs and Security ...

Benefits offered may include health care, dental, vision, life insurance; 401(k); education ... Own intern and early career hiring for engineering, software, and technical roles-sourcing through ...

Posted today

CLOUD ADVISORY ENGINEER

Ventura, CA · On-site

$175K - $190K/yr

Develop a deep understanding of unique Mission Owner requirements to evaluate the Level of Effort ... Education: Bachelor's degree in Computer Science or a related technical field * Experience: 2-4 ...

AI/ML Software Engineer

Goleta, CA · On-site

$120K - $200K/yr

... Learning (ML) applications. Our software engineers work closely with our researchers and customers ... Dental and Vision Coverage Options * Paid Holidays * Paid Vacation and Sick leave * Company Funded ...

... Learning (ML) applications. Our software engineers work closely with our researchers and customers ... Dental and Vision Coverage Options * Paid Holidays * Paid Vacation and Sick leave * Company Funded ...

Deep Systems Knowledge: A bachelor's degree encompassing a strong academic background in Computer ... Dental and Vision Coverage Options * Paid Holidays * Paid Vacation and Sick leave * Company Funded ...

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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 Jul 15, 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.

Software Engineer - Maritime Autonomy (AUV/UUV)

GRVTY

Ventura, CA

Other

Posted 8 days ago


Job description

What Impact You'll Have

GRVTY is seeking an experienced, motivated mid-level Software Engineer to join our innovative engineering team in Ventura, CA. This is an opportunity to develop and test systems for our groundbreaking Autonomous Undersea Vehicle (AUV) Family of Systems and advanced navigation technology. You will work alongside subsea domain experts to develop autonomy software for AUVs and advanced navigation products. You will join a team of dedicated engineers and scientists who are pushing the boundaries of maritime technology to deliver exceptional products and capabilities.

What You'll be Owning

  • Design, implement, and maintain software in C++, C#
  • Collaborate with systems, electrical, mechanical, and test engineers to define software requirements and interfaces
  • Participate in the full software development lifecycle, including requirements analysis architecture, coding, testing, integration, and documentation
  • Generate fully operational and tested code from design documents
  • Ensure adherence to coding standards, cybersecurity practices, and configuration management processes
  • Assist in integrating software with hardware systems, simulators, or lab testbeds
  • Prepare technical documentation, including design descriptions, diagrams, interface control documents, and test plans
  • Support field tests, demos, or deployment activities when required
  • Lead/contributing author on reports/papers and presents work at meetings when appropriate
  • Develops test plans/procedures and conducts testing for new developments as well as regression testing for existing software systems

What You Must Have

  • Bachelor's Degree in Computer Science, Computer Engineering or related field
  • Advanced experience in software engineering practices and principles as well as ability to apply them
  • Experience with autonomous systems software solutions
  • Experience with communication protocols: UART, SPI, I2C, RS-485, Ethernet, CAN bus
  • Advanced experience in commonly used software development tools
  • Familiarity with DevOps pipelines, CI/CD tools, and version control systems
  • Ability to write clear, grammatically correct documents with logical structure and deep technical content
  • Demonstrates excellence in technical discussions with internal and external collaborators
  • Displays professionalism both in the workplace and in customer interactions
  • U.S. Citizenship 

What Would be Nice to Have

  • Experience with underwater vehicles, robotics, or maritime/defense systems
  • Experience with software configuration management tools
  • Active DoD clearance