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Healthcare Machine Learning Jobs in Oregon (NOW HIRING)

Dishwasher - Healthcare

Corvallis, OR · On-site

$15.75 - $16/hr

Dishwasher - Healthcare | Location: Corvallis, OR 97330 Compensation: $15.75-$16 per hour ... Shut down machine, drain and clean dish machine jets and screen, rinse machine inside and out ...

Familiarity with HIPAA and healthcare data privacy standards. * Experience supporting machine learning pipelines, feature engineering workflows, or feature stores. * Experience with streaming ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable ...

... make mental health care more accessible to everyone. Founded in 2013, we are now the world ... Design, prototype and productionize scalable AI/machine learning models * Play a critical in ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare ...

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... deep learning research * Work with doctors and healthcare professionals to identify serious ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 21-40

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 Sep 2, 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 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 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 August 2026, with employment types broken down into 2% As Needed, 67% Full Time, 17% Part Time, and 14% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $103,613 per year, or $49.8 per hour.

Machine Learning Scientist 4/5 - Generative Models

Netflix

OR • On-site, Remote

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance.

Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort. The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience

Our team partners closely with Netflix's world-class creative writing teams to amplify and scale promotional writing for our members. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.

Responsibilities: Design rigorous experiments to test hypotheses, from setup through statistical validation - e.g., comparing two summary-generation algorithms with limited sample sizes, accounting for experimental limitations, and drawing sound conclusions. Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions. Lead end-to-end ML development: research, model training, and evaluation

Partner with ML scientists and engineers to integrate models into business applications and platforms. Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps. Track advancements in the field and apply them to improve the promotional writing experience for members.

Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand. About you: Track record of designing, running, and analyzing rigorous experiments - from hypothesis formation through statistical validation of results. Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation.

Research experience in summarization or generated-text evaluation is a big plus; background in vision models such as diffusion models is a plus. Expertise in one or more LLM post-training approaches. Strong programming skills in Python, with experience in common ML/DL frameworks such as PyTorch or TensorFlow.

PhD (preferred) or MSc in ML, Computer Science, or a related field. Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems. Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.

Comfortable with ambiguity, able to take ownership, and able to thrive with minimal oversight or process. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options.

To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.

Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment.

Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997