1

Medical Machine Learning Internship Jobs in Seattle, WA

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our ... Benefits Medical Dental Vision 401K Life Insurance Salary Range $150,000 - $220,000 per year We may ...

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our ... Medical Dental Vision 401K Life Insurance Salary Range $150,000 - $220,000 per year We may use ...

Paid parental, medical, military and family care leave* Mental Health & Family Forming Benefits* Employee Stock Purchase Plan (ESPP)* Continuing education and travel benefits**Our Connected Work ...

Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team ... including medical, dental, and vision coverage, paid time off, an Employee Assistance Program ...

This involves developing sophisticated machine learning and large language models (LLMs) to ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Paid parental, medical, military and family care leave * Mental Health & Family Forming Benefits * Employee Stock Purchase Plan (ESPP) * Continuing education and travel benefits Our Connected Work ...

Showing results 41-60

Medical Machine Learning Internship information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Sep 5, 2026, the average yearly pay for medical machine learning internship in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

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 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.
Infographic showing various Medical Machine Learning Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

AIML - Machine Learning Engineer, MIND

Apple Inc.

Seattle, WA • On-site

$142.30 - $263.30/hr

Other

Medical, Dental, Retirement

Re-posted 27 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Seattle, Washington, United States Machine Learning and AI

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.

Description
  • Develop features and models to improve the capabilities of systems that use machine learning.
  • Scale up model training, build data pipelines, and tune to improve system performance.
  • Review and implement pioneering machine learning algorithms.
  • Build software that improves rate of experimentation.
Minimum Qualifications
  • Proficient in Python and deep learning frameworks like PyTorch.
  • Experience with training ML models including deep learning-based models.
  • Able to define metrics, evaluate ML models, and perform error analysis.
  • Familiar with recent advances in deep learning.
  • Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
Preferred Qualifications
  • Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning.
  • Experience with building efficient ML models through HW/SW co-design.
  • Experience crafting and defining datasets and metrics for novel tasks.
  • Experience with shipping ML features and products.
  • Excellent problem-solving and analytical skills with a thorough approach.
  • Most importantly: a strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976