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Healthcare Machine Learning Jobs in Oregon (NOW HIRING)

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a ...

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life ...

... Healthcare, and Manufacturing. Our founding team includes industry veterans and experts in neural ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

Machine Learning Tutor

OR · Remote

$40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Benefits - Health, Work/Life Harmony, & Wellbeing Indeed is deeply committed to building a ...

OR · On-site

$523K - $920K/yr

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ... Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a ...

OR

$205K - $355K/yr

We also believe that ML should be ethical and encourage healthy habits and interaction, not ... care. At Nextdoor, we empower our employees to build stronger local communities. To create a ...

OR · On-site

$122K - $161K/yr

In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine learning techniques to convert messy, real-world health data into insight ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

... care. What You'll Be Working On: * Build and deploy AI-driven products that accelerate clinical ... Your work will deliver scalable machine learning solutions to complex, real-world problems in ...

OR · On-site

$122K - $161K/yr

... Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, ... Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment ...

OR

$170K - $334K/yr

We also believe that ML should be ethical and encourage healthy habits and interaction, not ... care. At Nextdoor, we empower our employees to build stronger local communities. To create a ...

OR · On-site

You will work closely with our machine learning researchers, product managers, and other engineers ... Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) ...

OR

$122K - $161K/yr

... Healthcare, and Manufacturing. Our founding team includes industry veterans and experts in neural ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

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Showing results 1-20

Healthcare Machine Learning information

See Oregon salary details

$11.6K

$103.6K

$169.7K

How much do healthcare machine learning jobs pay per year?

As of Jun 16, 2026, the average yearly pay for healthcare machine learning in Oregon is $103,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $23,300.00 and $169,200.00 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 is a Healthcare Machine Learning job?

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 the Healthcare Machine Learning position, and why are they important?

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 popular job titles related to Healthcare Machine Learning jobs in Oregon? For Healthcare Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Healthcare Machine Learning jobs in Oregon look for? The top searched job categories for Healthcare Machine Learning jobs in Oregon are:
Infographic showing various Healthcare Machine Learning job openings in Oregon as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 75% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $103,613 per year, or $49.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview

Machine Learning Engineer, AI Platform 

 As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations, including customer-facing operations. You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end. Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale. 

Key Responsibilities 

  • AI Platform Development: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment. Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding back to the AI Platform. 
  • Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance. 
  • Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done. 
  • Research and Learning: Stay current with advancements in LLMs, agentic frameworks, machine learning,  and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team. 
  • Performance and Reliability: Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrails appropriate for healthcare. 
  • Documentation: Maintain clear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility. 
  • Required Qualifications 

    • Education: Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered. 
    • Experience: 2-4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus. 
    • Technical Skills: Strong proficiency in Python. Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering alongside traditional ML frameworks (PyTorch, scikit-learn, etc.). Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating across the full development lifecycle. 
    • Healthcare Knowledge: Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other healthcare datasets is a plus but not required. 
    • Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights. 
    • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. 
    • Builder Mindset: Energized by turning ideas into working solutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly. 
    • Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team. 

    HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. 

    Geographic Responsibility: While HealthEdge is located in Boston, MA you may live anywhere in the US 

    *Note this role requires proof of US residency for the last consecutive 5 years*

    Type of Employment: Full-time, permanent 

    Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:  

    • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. 
    • Work across multiple time zones in a hybrid or remote work environment. 
    • Long periods of time sitting and/or standing in front of a computer using video technology. 
    • May require travel dependent on company needs. 

    The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.  

    HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. 

    #LI-Remote 

    **The annual US base salary range for this position is $130,000 to $165,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education. 

    Employment Type: FULL_TIME

    HealthEdge logo

    About HealthEdge

    Sourced by ZipRecruiter

    Health Edge ® provides modern, disruptive technology that delivers for the first time, a suite of products that enables healthcare payors to leverage new business models, improve outcomes, drastically reduce administrative costs and connect everyone in the healthcare delivery cycle. Our next-generation enterprise product suite, HealthRules ®, is built on modern, patented technology and is delivered to customers via the HealthEdge Cloud or on-site deployment. An award-winning company, HealthEdge empowers payors to capitalize on the innovations, challenges and opportunities that await in the new healthcare economy. For more information, visit .

    Industry

    Computer and computer peripheral equipment and software wholesalers

    Company size

    201 - 500 Employees

    Headquarters location

    Burlington, MA, US

    Year founded

    2005

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