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

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

... 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 ...

Amazon

Machine Learning Engineer

Seattle, WA · On-site

What if you could build the machine learning systems that decide which ads hundreds of millions of ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

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 ...

AvePoint

Lead Machine Learning Engineer

Seattle, WA

$200K - $245K/yr

We are seeking an analytical and innovative Machine Learning Engineer to join our Data & AI team ... medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses ...

AvePoint

Lead Machine Learning Engineer

Seattle, WA · On-site

$200K - $245K/yr

We are seeking an analytical and innovative Machine Learning Engineer to join our Data & AI team ... medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses ...

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All JobsMedical Machine Learning JobsMedical Machine Learning Jobs in Seattle, WA

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 Jul 25, 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 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 is a Medical Machine Learning job?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often found in tech companies or healthcare organizations. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in the organization.

Is ML a high paying job?

Medical machine learning professionals typically earn high salaries due to the specialized skills required, such as expertise in data analysis, programming, and healthcare knowledge. Salaries can vary based on experience, education, location, and industry demand, but overall, it is considered a well-compensated field within tech and healthcare sectors.

Will MLE be replaced by AI?

Medical Machine Learning Engineers (MLEs) develop and implement algorithms to analyze medical data, and AI advancements are augmenting their work rather than replacing it. While AI tools automate certain tasks, MLEs are essential for designing, validating, and maintaining complex models within healthcare environments, often requiring domain expertise and programming skills. The role is expected to evolve with AI, emphasizing collaboration between human expertise and automated systems.

What does machine learning do in healthcare?

In healthcare, machine learning is used by professionals to analyze large datasets, improve diagnostic accuracy, and develop predictive models for patient outcomes. Medical machine learning specialists often work with algorithms, programming tools, and clinical data to enhance treatment plans and healthcare efficiency.

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 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:
What job categories do people searching Medical Machine Learning jobs in Seattle, WA look for? The top searched job categories for Medical Machine Learning jobs in Seattle, WA are:
Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $187,469 per year, or $90.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Seattle, WA

$175K - $308K/yr

Full-time

Medical, Dental, Retirement

Posted 5 hours ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 674 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

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.
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.
Minimum Qualifications
Software engineering skills and proficiency in Python
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience
Pay & Benefits
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.

What Apple employees say

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Benefits

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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

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