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Internship Healthcare Machine Learning Jobs in California

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

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 groups: those with wealth and access, and those with physicians in their immediate family. For ...

Unity Technologies

Machine Learning Engineer

Mountain View, CA · On-site

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

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All JobsHealthcare Machine Learning JobsInternship Healthcare Machine Learning JobsInternship Healthcare Machine Learning Jobs in California

Internship Healthcare Machine Learning information

What is the difference between Internship Healthcare Machine Learning vs Healthcare Data Analyst?

AspectInternship Healthcare Machine LearningHealthcare Data Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in machine learning or data scienceDegree in health informatics, statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on developing algorithms and modelsHospitals, clinics, healthcare organizations; focus on interpreting data and generating reports
Employer & Industry UsageTech companies, healthcare startups, research institutionsHospitals, insurance companies, healthcare consulting firms

Internship Healthcare Machine Learning roles focus on developing algorithms and models to improve healthcare solutions, often requiring programming and machine learning knowledge. Healthcare Data Analysts interpret healthcare data to support decision-making, emphasizing statistical analysis and reporting. Both roles are vital in healthcare but differ in technical focus and daily tasks.

What are popular job titles related to Internship Healthcare Machine Learning jobs in California?

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Internship Healthcare Machine Learning jobs near you
Infographic showing various Internship Healthcare Machine Learning job openings in California as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 15% Part Time, 2% Temporary, and 12% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Re-posted 3 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 Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).
Job Description and Responsibilities:
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:
  • Experience working with time series or unstructured data

Expected Compensation:
The anticipated hourly rate for this position is listed below.
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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