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Internship Healthcare Machine Learning Jobs (NOW HIRING)

Instacart

OR · On-site

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site

$143K - $214K/yr

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

San Francisco, CA · On-site

$143K - $214K/yr

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

$143K - $214K/yr

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 ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

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 ...

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Internship Healthcare Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 11, 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 cities are hiring for Internship Healthcare Machine Learning jobs? Cities with the most Internship Healthcare Machine Learning job openings:
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 July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 68% Full Time, 15% Part Time, and 14% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer III

Machine Learning Engineer III

TeleTracking Technologies, Inc.

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

About us
TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it's a promise to continually improve healthcare.
TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation's largest healthcare systems and around the world to positively impact patients, families and communities.
What's your contribution to the TeleTracking story?
When you chose to bring your passion and skills to helping achieve our purpose, you'll be part of a team that understands that there's a human life behind every data point. Your skills, curiosity, and compassion-will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.
About the role
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.
What you will do
  • Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
  • Build and optimize data ingestion and modeling pipelines as needed
  • Utilize domain driven techniques and design patterns to build and contribute to technical
  • design.
  • Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
  • Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
  • Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
  • Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
  • Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
  • Write technical architectural and design documents.

What we look for
  • Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
  • Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
  • Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
  • Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
  • Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
  • Comfortable writing complex SQL queries and developing python packages.
  • Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
  • Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
  • Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
  • Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
  • Experience with agile development practices.
  • Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
  • Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
  • Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
  • Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
  • Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.

Education
  • Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
  • Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Benefits
  • Employee Medical/dental/vision premiums paid 100% - family members without coverage Medical 100% - small cost for dependents on dental and vision, which start from day one!
  • Life and AD&D
  • Flexible Spending Accounts: Medical, Dependent Care, and Transportation
  • 401 (k) Retirement Savings
  • Tuition Reimbursement
  • Military Paid Leave (up to 6 months of base salary while on military leave)
  • Paid Time Off
  • Paid parental leave

Disclaimer:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.

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