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

... 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 ...

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 ...

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 ...

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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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 Jun 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 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.

Is ML a high paying job?

Medical machine learning professionals typically earn higher salaries compared to many other healthcare roles due to specialized skills in data analysis, programming, and understanding medical data. Salaries vary based on experience, education, and location, but advanced roles in this field often offer competitive compensation, especially for those with expertise in deep learning and relevant tools like Python and TensorFlow.

Which 3 jobs will survive AI?

In the field of medical machine learning, roles such as data scientists, clinical informaticists, and AI specialists are likely to persist as they require complex problem-solving, domain expertise, and oversight of AI systems. These jobs involve interpreting data, ensuring ethical use, and integrating AI tools into healthcare, which are less susceptible to automation. Continuous learning and certification in AI and healthcare regulations enhance job security in this area.

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 languages like Python, and medical data to enhance treatment plans and operational efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often in the tech or healthcare sectors. These positions usually require advanced skills in programming, data analysis, and experience with AI frameworks, and may include bonuses or stock options that contribute to total compensation.

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.

Infographic showing various Medical Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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

$171K - $302K/yr

Full-time

Medical, Dental, Retirement

Posted 2 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

6th 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 $171,600 and $302,200, 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

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