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Internship Healthcare Machine Learning Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Apple

Machine Learning Engineer - Health AIML

Boulder, CO · On-site

$212K - $386K/yr

The Health AI team is at the forefront of machine learning and health science at Apple. We are a ... Experience with healthcare data, products, and workflows. Ability to thrive in a fast-paced ...

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Internship Healthcare Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jun 19, 2026, the average yearly pay for internship healthcare machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

More about Internship Healthcare Machine Learning jobs
What are the most commonly searched types of Healthcare Machine Learning jobs? The most popular types of Healthcare Machine Learning jobs are:
What states have the most Internship Healthcare Machine Learning jobs? States with the most job openings for Internship Healthcare Machine Learning jobs include:
What job categories do people searching Internship Healthcare Machine Learning jobs look for? The top searched job categories for Internship Healthcare Machine Learning jobs are:
Internship Healthcare Machine Learning jobs near you
Infographic showing various Internship Healthcare Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, 18% Part Time, and 18% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Internship - PhD: 2027

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Posted 11 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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