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

Atlassian

Machine Learning Engineer

Seattle, WA · On-site +1

As an MLE on this team, you'll work at the intersection of machine learning, information retrieval ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

New

Atlassian

Machine Learning Engineer

Seattle, WA · On-site +1

As an MLE on this team, you'll work at the intersection of machine learning, information retrieval ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

New

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

## Staff Machine Learning EngineerApplylocations: Seattle, Washington United Statestime type: Full ... Paid parental, medical, military and family care leave* Mental Health & Family Forming Benefits*

Expedia

Machine Learning Scientist III

Seattle, WA

$220K/yr

Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team ... The Marketplace Health team builds systems that detect behaviors indicating trust, safety, and ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work ... In this role you will work with a high performing team of applied scientists, machine learning ...

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · On-site

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... You'll help shape the AI capabilities that make healthcare more intelligent, efficient, and ...

New

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · Hybrid

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... You'll help shape the AI capabilities that make healthcare more intelligent, efficient, and ...

New

Remitly

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ... Paid parental, medical, military and family care leave * Mental Health & Family Forming Benefits

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Hive

Staff Machine Learning Engineer

Seattle, WA

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

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Showing results 21-40

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

Healthcare Machine Learning information

See Seattle, WA salary details

$12.5K

$111.5K

$182.7K

How much do healthcare machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for healthcare machine learning in Seattle, WA is $111,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $182,100.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are the most commonly searched types of Healthcare Machine Learning jobs in Seattle, WA?

The most popular types of Healthcare Machine Learning jobs in Seattle, WA are:

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

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

What job categories do people searching Healthcare Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Healthcare Machine Learning jobs in Seattle, WA are:

Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 68% Full Time, 16% Part Time, and 13% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,526 per year, or $53.6 per hour.

Machine Learning Engineer

Atlassian

Seattle, WA • On-site, Remote

Full-time

Posted 2 days ago

New

Job description

Overview:

Join the Agentic Search team at Atlassian to build and ship intelligent search experiences that power Rovo Chat and AI-driven workflows across the Atlassian platform. As an MLE on this team, you'll work at the intersection of machine learning, information retrieval, and large language models to deliver search capabilities that help millions of users find, understand, and act on their work data.

Responsibilities:

What you'll do:

  • Design, build, and optimize ML-powered search skills that integrate with Rovo's agentic architecture, including query understanding, retrieval, ranking, and answer generation

  • Develop and maintain production ML pipelines for search relevance, leveraging techniques such as reranking, embedding models, and reinforcement learning

  • Drive end-to-end experimentation — from offline evaluation to online A/B testing — to measure and improve search quality metrics

  • Collaborate with product, platform, and applied science partners to translate user needs into scalable ML solutions

  • Contribute to the team's evaluation infrastructure and data tooling to accelerate iteration

What we're looking for:

  • Strong software engineering fundamentals with experience building ML systems at scale

  • Familiarity with search/IR, NLP, or LLM-based systems

  • Ability to operate independently, drive technical decisions, and deliver impact in a fast-moving environment

‌

Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $178,200 - $232,650

Zone B: $160,380 - $209,385

Zone C: $147,906 - $193,100

Qualifications:

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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