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Machine Learning Biomedical Internship Jobs in Stanford, CA

Neuralink

Neuroengineer Intern

South San Francisco, CA

$35/hr

Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field * 2+ years of academic or industry experience * A strong understanding of the scientific ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused ... We scope internships around a single meaningful question that can be answered in the time you have.

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Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Experience working with clinical, biomedical, or other regulated datasets Why Join Latent Health

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Machine Learning Biomedical Internship information

See Stanford, CA salary details

$30K

$50K

$103.4K

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

As of Aug 30, 2026, the average yearly pay for machine learning biomedical internship in Stanford, CA is $50,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 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 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 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 job categories do people searching Machine Learning Biomedical Internship jobs in Stanford, CA look for?

The top searched job categories for Machine Learning Biomedical Internship jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Machine Learning Biomedical Internship jobs?

Cities near Stanford, CA with the most Machine Learning Biomedical Internship job openings:

Machine Learning Biomedical Internship jobs near you

Neuroengineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.
Job Description and Responsibilities:
  • Investigate and map neural correlates of sensory and internally-generated states.
  • Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.
  • Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.
  • Present results in a fast-paced, highly collaborative setting.

Required Qualifications:
  • Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field
  • 2+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications:
  • Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.
  • Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.
  • Strong background in neural decoding, particularly in the domains of movement or speech.
  • Experience with human fMRI experimental design, execution, and fMRI data analysis.
  • Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.

Pay Transparency:
Based on California law, the following details are for California individuals only.
California Hourly Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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