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Medical Machine Learning Internship Jobs in California

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Benefits We offer excellent medical, dental, and vision coverage, alongside a strong benefits ...

MDT Technical

Machine Learning Engineer

Pleasanton, CA · On-site

Machine Learning Engineer Primary Location : Pleasanton, California V-Soft Consulting is currently ... As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a ...

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 ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Own small to medium components of machine learning systems from technical designthrough ... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ...

HADRIAN

Machine Learning Engineer

Torrance, CA

$250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Own small to medium components of machine learning systems from technical designthrough ... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

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Medical Machine Learning Internship information

What kinds of projects and responsibilities can I expect during a medical machine learning internship?

As a Medical Machine Learning Intern, you'll typically work on real-world datasets to develop, test, and refine machine learning models aimed at improving healthcare outcomes. Your daily tasks may include data preprocessing, feature engineering, model selection, and performance evaluation under the guidance of experienced data scientists or clinicians. Collaboration is key, as you'll often work with multidisciplinary teams, including software engineers, clinicians, and researchers. This hands-on experience allows you to gain practical skills and contribute to impactful projects that can enhance patient care or medical research.

What are the key skills and qualifications needed to thrive as a medical machine learning intern, and why are they important?

To thrive as a Medical Machine Learning Intern, you need a solid background in statistics, programming (Python or R), and foundational knowledge of machine learning algorithms, typically supported by coursework or a relevant degree in computer science, engineering, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience working with medical datasets or healthcare IT systems are highly valued. Strong analytical thinking, attention to detail, and effective communication skills will help you collaborate with interdisciplinary teams and present findings clearly. These skills are crucial for developing accurate, impactful models that address real-world healthcare challenges and ensure patient safety.

What is a medical machine learning internship?

A Medical Machine Learning Internship is a temporary position where students or recent graduates work on projects that apply machine learning techniques to healthcare and medical datasets. Interns typically collaborate with data scientists, clinicians, and researchers to develop algorithms that can assist in diagnosing diseases, predicting patient outcomes, or improving healthcare processes. This role provides hands-on experience with real-world medical data, exposure to regulatory considerations, and the opportunity to contribute to impactful healthcare innovations. Such internships help interns build technical and domain-specific skills, preparing them for future careers in medical data science.
What are the most commonly searched types of Medical Machine Learning jobs in California? The most popular types of Medical Machine Learning jobs in California are:
What are popular job titles related to Medical Machine Learning Internship jobs in California? For Medical Machine Learning Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning Internship jobs in California look for? The top searched job categories for Medical Machine Learning Internship jobs in California are:
What cities in California are hiring for Medical Machine Learning Internship jobs? Cities in California with the most Medical Machine Learning Internship job openings:
Medical Machine Learning Internship jobs near you
Infographic showing various Medical Machine Learning Internship job openings in California as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Machine Learning Engineer

Horizontal Talent

Pleasanton, CA • On-site

$30 - $62/hr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Join a dynamic team as a Machine Learning Engineer focused on building, deploying, and optimizing intelligent solutions that support a wide range of business applications. This six-month opportunity offers the chance to work with modern machine learning tools, cloud technologies, and MLOps practices in a collaborative environment.

Responsibilities
  • Develop and improve machine learning models using supervised and unsupervised learning methods
  • Apply neural networks and natural language processing techniques to solve real-world problems
  • Build, test, and deploy ML solutions using Python, R, SQL, and leading frameworks
  • Support model lifecycle management through DevOps and MLOps best practices
  • Work with cloud-based tools and services, with a focus on Microsoft Azure
  • Collaborate with technical teams to optimize performance, reliability, and scalability of machine learning systems
Skills
  • Hands-on experience with supervised and unsupervised learning algorithms
  • Strong knowledge of neural networks and NLP concepts
  • Proficiency in Python, R, and SQL
  • Experience with TensorFlow, Keras, and/or PyTorch
  • Working knowledge of Microsoft Azure or similar cloud platforms
  • Understanding of DevOps and MLOps practices
  • Ability to manage priorities and contribute in a collaborative team setting
Preferred Skills
  • Experience deploying machine learning models in production environments
  • Familiarity with model monitoring, optimization, and maintenance workflows
  • Exposure to cross-functional project collaboration
  • Strong problem-solving skills and a proactive approach to technical challenges

Horizontal is committed to creating an inclusive and welcoming environment where diverse perspectives are valued and respected. We encourage candidates from all backgrounds to apply and bring their unique strengths to the team.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $30 - $62 per hour based on qualifications and experience.

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