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Machine Learning Biomedical Internship Jobs in Goleta, CA

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Machine Learning Biomedical Internship information

See Goleta, CA salary details

$27.5K

$45.9K

$94.9K

How much do machine learning biomedical internship jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning biomedical internship in Goleta, CA is $45,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Biomedical Internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

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

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a Machine Learning Biomedical Internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What job categories do people searching Machine Learning Biomedical Internship jobs in Goleta, CA look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Goleta, CA are:
What cities near Goleta, CA are hiring for Machine Learning Biomedical Internship jobs? Cities near Goleta, CA with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Goleta, CA as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,946 per year, or $22.1 per hour.
XR Brain-Computer Interface Research Intern

XR Brain-Computer Interface Research Intern

Cognixion, Inc.

Santa Barbara, CA • Hybrid

$30/hr

Full-time

Posted 19 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.

Apply