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Machine Learning Intern Jobs in Santa Barbara, CA

Intern

Ventura, CA ยท On-site

$16.50 - $22/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Intern

Santa Barbara, CA ยท On-site

$16.75 - $22.25/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Intern

Solvang, CA ยท On-site

$21 - $25/hr

C&D CPAs & Advisors is currently seeking a bright student intern for the upcoming 2025 tax season (January - April), full or part time, that is pursuing an undergraduate degree in Accounting and CPA ...

C&D CPAs & Advisors is currently seeking a bright student intern for the upcoming 2025 tax season (January - April), full or part time, that is pursuing an undergraduate degree in Accounting and CPA ...

Intern

Solvang, CA

$21 - $25/hr

C&D CPAs & Advisors is currently seeking a bright student intern for the upcoming 2025 tax season (January - April), full or part time, that is pursuing an undergraduate degree in Accounting and CPA ...

Salary: DOE C&D CPAs & Advisors is currently seeking a bright student intern for the upcoming 2025 tax season (January - April), full or part time, that is pursuing an undergraduate degree in ...

Intern

Santa Barbara, CA ยท On-site

$21 - $25/hr

C&D CPAs & Advisors is currently seeking a bright student intern for the upcoming 2025 tax season (January - April), full or part time, that is pursuing an undergraduate degree in Accounting and CPA ...

Machine Learning Intern information

See Santa Barbara, CA salary details

$28.4K

$47.4K

$97.9K

How much do machine learning intern jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning intern in Santa Barbara, CA is $47,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $51,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Santa Barbara, CA? The most popular types of Machine Learning jobs in Santa Barbara, CA are:
What are popular job titles related to Machine Learning Intern jobs in Santa Barbara, CA? For Machine Learning Intern jobs in Santa Barbara, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Santa Barbara, CA look for? The top searched job categories for Machine Learning Intern jobs in Santa Barbara, CA are:
What cities near Santa Barbara, CA are hiring for Machine Learning Intern jobs? Cities near Santa Barbara, CA with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Santa Barbara, CA as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 56% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $47,382 per year, or $22.8 per hour.
XR Brain-Computer Interface Research Intern

XR Brain-Computer Interface Research Intern

Cognixion, Inc.

Santa Barbara, CA โ€ข Hybrid

$30/hr

Full-time

Posted 18 days ago


Job description

XR Brain-Computer Interface Research Intern


CognixionInc.is seeking a motivated research intern to support ourcutting-edgeXR/AR brain-computer interface platform development. This hands-on role offers unique exposure to clinical neurotechnology applications and rapid prototyping in an innovative startup environment.

This position will be based inCognixion'sSanta Barbara, CAoffice and follows a hybrid work schedule with 3 days/week in the office.


Primary Responsibilities:

  • Rapidly prototype and iterate software solutions for EEG-based brain-computer interface systems
  • Support clinical study activities including participant coordination, data collection, and site visits
  • Process and analyze EEG data to inform product development and clinical validation

Required Qualifications:

  • Strong Python programming skills with experience in data processing pipelines
  • Working knowledge of EEG signal processing and analysis techniques
  • Foundational understanding of neuroscience and/or neurology principles
  • Ability to work in fast-paced environment with quick iteration cycles
  • Comfortable with participant-facing activities and occasional travel for site visits

Preferred Qualifications:

  • Experience with machine learning libraries (scikit-learn, TensorFlow,PyTorch)
  • Familiarity with Unity development for XR
  • Background in assistive technology or accessibility applications
  • Understanding of clinical research protocols and IRB compliance
  • Hands on experience with multiple XR devices


This position offers hands-on experience at the intersection of neurotechnology, augmented reality, and assistive communication devices. Ideal for students pursuing careers in biomedical engineering, neuroscience, or human-computer interaction.