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Medical Machine Learning Jobs in Seattle, WA (NOW HIRING)

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

... 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 ...

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Seattle, Washington, United States Machine Learning and AI Do you believe that generative models ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

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 ...

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental ...

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 ...

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Showing results 1-20

Medical Machine Learning information

See Seattle, WA salary details

$41.5K

$187.5K

$383.5K

How much do medical machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for medical machine learning in Seattle, WA is $187,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $305,600.00 per year, depending on experience, location, and employer.

What is a medical machine learning?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What types of teams do medical machine learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the key skills and qualifications needed to thrive in the medical machine learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What does medical machine learning do in healthcare?

Medical machine learning involves developing algorithms that analyze healthcare data to assist in diagnosis, treatment planning, and patient monitoring. Professionals in this field use tools like Python and TensorFlow to create models that improve accuracy and efficiency in medical decision-making.

What are popular job titles related to Medical Machine Learning jobs in Seattle, WA?

For Medical Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

Infographic showing various Medical Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $187,469 per year, or $90.1 per hour.

Machine Learning Engineer

Seattle, WA • On-site


Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students


$175 - $308.50/hr

Other

Medical, Dental, Retirement

Re-posted yesterday


Job description

Seattle, Washington, United States Machine Learning and AI

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Minimum Qualifications
  • Software engineering skills and proficiency in Python
  • Experience with PyTorch
  • BS degree and 10+ years of experience
Preferred Qualifications
  • Passion for delivering high quality features to large groups of diverse end-users
  • Excellent communication and experience working with multi-functional teams
  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
  • MS degree in computer vision, computer graphics, machine learning or related field
  • PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

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 $175,000 and $308,500, 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.

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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


What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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