ZipRecruiter

Log In

1

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

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Expedia

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • PTO

This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits ... health, responding to incidents, and improving systems based on experimental results and ...

New

Chewy

Machine Learning Engineer III

Bellevue, WA · On-site

$148K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Fluidstack

Machine Learning Engineer

Seattle, WA · On-site

$130 - $180/hr

We hire people who care deeply about this problem space. If that is you, please apply! How We Operate * Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core ...

Chewy

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast ...

Orchard

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast ...

previous page

Showing results 41-60

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 Aug 12, 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 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 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 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 43% Full Time, 29% Part Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,526 per year, or $53.6 per hour.

Staff Machine Learning Engineer

Hive

Seattle, WA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Staff Machine Learning Engineer
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Write and maintain scalable, performant code that can be shared across platforms
  • Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
  • Improve engineering standards, tooling, and processes
  • Develop novel, accurate, and performant ML algorithms for use at scale
  • Conduct metric-driven research experiments to improve model performance
  • Provide mentorship to and help onboard ML engineers
  • Lead cross-functional collaboration with other teams
  • Contribute to defining strategic direction, planning the roadmap
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements
  • You have a Bachelor's Degree in computer science or a related field
  • You have 8+ years of experience building web applications
  • You have successfully implemented highly-available distributed systems/microservices
  • You have delivered scalable backend APIs
  • You have strong interpersonal and communication skills with a bias towards action
  • You have experience writing code and training across distributed systems
  • You have the ability to understand and make well-reasoned tradeoffs in designing features
  • You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
  • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
  • You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
  • You can lead end to end development of new products

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply