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Internship Healthcare Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer I Seattle Scowtt is an early-stage startup transforming the way ... Hands-on project or internship experience with real datasets * Exposure to cloud platforms (GCP or ...

Sr. Machine Learning Engineer

San Mateo, CA

$63.50 - $84/hr

Prior experience with machine vision and machine learning in financial services is essential. Key ... Past experience of working in frameworks in last job or internship Preferred degree in Computer ...

OR · On-site

Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

Background in healthcare data or analytics * Familiarity with Blue Modis or similar platforms Required Skills : Azure Machine Learning *** ADF or DataBricks *** SQL *** Python Basic Qualification

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... A robust healthcare package that includes medical, dental & vision benefits, short-term and ...

We value people who take initiative, stay curious, and care deeply about the quality and impact of ... Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered ...

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

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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:
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 Engineer I

Scowtt

Seattle, WA

$100K - $150K/yr

Other

Posted 24 days ago


Job description

Machine Learning Engineer I

Seattle

Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action—immediately. We're growing fast, and onboarding new customers quickly and cleanly is core to our success.

About the Role

We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.

What You'll Do
  • Assist in training, evaluating, and deploying ML models
  • Work with structured and behavioral data used in marketing and sales systems
  • Help automate and maintain data and ML pipelines
  • Collaborate with engineers to integrate ML models into AI agents
  • Debug, optimize, and improve model and pipeline performance
  • Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
  • Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.

Qualifications:

Must Have

  • Bachelor's degree in Computer Science, ML, Data Science, or equivalent
  • 1-3 years of experience in data structures, algorithms
  • 1-3 years of experience with machine learning concepts and workflows
  • 1-3 years of experience in coding using Python with demonstrated strong coding skills

Should Have

  • Exposure to ML frameworks through coursework, projects, or internships
  • Curiosity, ownership mindset, and eagerness to learn

Nice to Have

  • Hands-on project or internship experience with real datasets
  • Exposure to cloud platforms (GCP or AWS)
  • Familiarity with tools like BigQuery, notebooks, or basic data pipelines
What Success Looks Like
  • You contribute to shipping ML models with guidance
  • You learn to debug data and model issues
  • You steadily increase independence and ownership
  • You build strong foundations in applied ML engineering

Pay range and compensation package Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.

Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.