ZipRecruiter

Log In

1

Medical Machine Learning Jobs in Washington (NOW HIRING)

next page

Showing results 1-20

All JobsMedical Machine Learning JobsMedical Machine Learning Jobs in Washington

Medical Machine Learning information

See Washington salary details

$41.3K

$186.6K

$381.7K

How much do medical machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for medical machine learning in Washington is $186,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $304,100.00 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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often found in tech companies or healthcare organizations. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in the organization.

Is ML a high paying job?

Medical machine learning professionals typically earn high salaries due to the specialized skills required, such as expertise in data analysis, programming, and healthcare knowledge. Salaries can vary based on experience, education, location, and industry demand, but overall, it is considered a well-compensated field within tech and healthcare sectors.

Will MLE be replaced by AI?

Medical Machine Learning Engineers (MLEs) develop and implement algorithms to analyze medical data, and AI advancements are augmenting their work rather than replacing it. While AI tools automate certain tasks, MLEs are essential for designing, validating, and maintaining complex models within healthcare environments, often requiring domain expertise and programming skills. The role is expected to evolve with AI, emphasizing collaboration between human expertise and automated systems.

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 tools, and clinical data to enhance treatment plans and healthcare efficiency.

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.

What are popular job titles related to Medical Machine Learning jobs in Washington? For Medical Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning jobs in Washington look for? The top searched job categories for Medical Machine Learning jobs in Washington are:
What cities in Washington are hiring for Medical Machine Learning jobs? Cities in Washington with the most Medical Machine Learning job openings:
Medical Machine Learning jobs near you
Homes.com - Machine Learning Engineer

Homes.com - Machine Learning Engineer

CoStar

Arlington, VA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

CoStar Group rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

36th of 160 rated real estate companies

Job description

Homes.com - Machine Learning Engineer
Job Description
CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Homes.com Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level - and we're doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we're building a brand on the cusp of defining the industry. We're looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company. Learn more aboutHomes.com. This position is located in Arlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home. RESPONSIBILITIES Collaborate on the continued improvement of CoStar's cloud-based machine learning environment Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data. Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improves our customer's experience Gain an understanding of the CoStar business and how ML can improve things BASIC QUALIFICATIONS Bachelor's degree required from an accredited, not-for-profit, in-person college/university A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 3+ years of programming experience with Python Experience with recommendation systems and (preferably) computer vision Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow) PREFERRED SKILLS Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB). Experience solving streaming and batch data processing problems at scale Experience building, deploying and optimizing ML models WHAT'S IN IT FOR YOU When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks Access to CoStar Group's Employee Resource Groups We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.However, please note that CoStar Group is not able to provide visa sponsorship for this position. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing. The final salary or hourly rate offered for this role with fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: 109,000 - 176,000 Annually #LI-AV1 #Homes.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

What CoStar Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply