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Healthcare Machine Learning Jobs (NOW HIRING)

We value people who take initiative, stay curious, and care deeply about the quality and impact of ... Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are ...

This person will implement and develop machine learning models to enhance our platform ... Top-tier health, vision, and dental insurance, including plans with $0 employee cost. * Unlimited ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... About Jaan Health/Phamily Jaan Health is a leading AI-based care management company serving health ...

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Define, own, and evolve core metrics across platform health, performance, and risk * Explore ... Strong foundation in machine learning, statistics, and analytical problem solving * Experience ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Comprehensive benefits package including health, dental, and vision insurance. * Opportunity to ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to ... The benefits available for this position include health insurance, six month paid parental leave ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Define, own, and evolve core metrics across platform health, performance, and risk * Explore ... Strong foundation in machine learning, statistics, and analytical problem solving * Experience ...

As a machine learning engineer, you will develop natural language processing systems that help our ... Great health and dental benefits * Company swag (we have the best socks in Boston) * Chance to ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

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Healthcare Machine Learning information

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$11K

$98K

$160.5K

How much do healthcare machine learning jobs pay per year?

As of Jun 5, 2026, the average yearly pay for healthcare machine learning in the United States is $97,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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 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 cities are hiring for Healthcare Machine Learning jobs? Cities with the most Healthcare Machine Learning job openings:
What are the most commonly searched types of Healthcare Machine Learning jobs? The most popular types of Healthcare Machine Learning jobs are:
What states have the most Healthcare Machine Learning jobs? States with the most job openings for Healthcare Machine Learning jobs include:
What job categories do people searching Healthcare Machine Learning jobs look for? The top searched job categories for Healthcare Machine Learning jobs are:
Infographic showing various Healthcare Machine Learning job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,999 per year, or $47.1 per hour.
Machine Learning Engineer

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About Multi Media, LLC
Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time.
We're building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they're drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build.
The Role
We are looking for a Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. In this role, you will help build, maintain, and improve production grade machine learning systems that support search, recommendations, personalization, computer vision, predictive modeling, and AI-driven experimentation across a global-scale consumer platform.
This is a hands-on engineering role for someone who has experience building ML models and systems at scale, understands how to evaluate model performance in production contexts, and is excited to apply machine learning to practical product and business problems.
You'll partner closely with Data Scientists, Product, Engineering, and other cross-functional partners to translate product and business needs into scalable ML solutions that improve discovery, engagement, retention, and user experience.
You Will:
  • Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling.
  • Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements.
  • Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences.
  • Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows.
  • Work with large-scale datasets to train, evaluate, monitor, and improve ML systems.
  • Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact.
  • Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.

Requirements
You have:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience.
  • 3+ years of experience building, deploying, or maintaining machine learning systems in production environments.
  • Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems.
  • Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization.
  • Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data.
  • Excellent Python programming skills.
  • Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools.
  • Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring.
  • Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems.

Bonus points:
  • Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.

Benefits
  • Fair and competitive base salary
  • Fully Remote Optional
  • Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
  • Long & Short term disability insurance
  • Unlimited PTO
  • Annual Year-End Company Closure
  • Optional 401k with 5% matching
  • 12 Paid Holidays
  • Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
  • Employee Assistance and Employee Recognition Programs
  • And much more!

The Base Salary range for this position is $180,000 - $200,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate's specific pay will be determined on a case-by-case basis and may vary based on the candidate's job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.
Please note: All offers from Multi Media, LLC are made only after a structured, multi-step recruiting process that includes live interviews, followed by a verbal offer before any written agreement is extended. Official communications, including from interviewers, will only come from email addresses ending in @multimediallc.com.
Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply!