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Health Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... The benefits available for this position include health insurance, six month paid parental leave ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... The benefits available for this position include health insurance, six month paid parental leave ...

OR ยท On-site

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... And as a mental health company, we take employee mental health just as seriously as we do our ...

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... And as a mental health company, we take employee mental health just as seriously as we do our ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

ExaCare AI is a leading health tech company aiming to build the AI operating system for post-acute care. They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale ...

Machine Learning Engineer

Detroit, MI ยท On-site +1

$107K - $241K/yr

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that ... We are proud to offer eligible team members perks and health benefits that will help you have peace ...

Machine Learning Engineer

Fremont, CA ยท On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions.

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Job Number: R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Ad Score and Ad Account Health. Responsibilities include but are not limited to; ML Model ...

Machine Learning Engineer

Alexandria, VA ยท On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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Health Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do health machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for health machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

How do Health Machine Learning professionals typically collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

What is Health Machine Learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.

What are the key skills and qualifications needed to thrive as a Health Machine Learning specialist, and why are they important?

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.
More about Health Machine Learning jobs
What cities are hiring for Health Machine Learning jobs? Cities with the most Health Machine Learning job openings:
What states have the most Health Machine Learning jobs? States with the most job openings for Health Machine Learning jobs include:
Infographic showing various Health Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Modulate

Somerville, MA โ€ข On-site, Remote

$170K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform - APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products
  • Advance our capabilities in conversational voice intelligence through applied research and engineering
  • Help translate business needs into scalable ML solutions
  • Improve model performance, reliability, and efficiency across our platform
  • Contribute to a collaborative, high-performing engineering culture
What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications
  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
  • Conduct experiments to improve model quality, accuracy, robustness, and scalability
  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
  • Analyze model performance and identify opportunities for improvement
  • Communicate technical findings, tradeoffs, and recommendations to both technical and non-technical stakeholders
  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems
  • Review code, share knowledge, and mentor teammates as needed
  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products
What We Are Looking For
  • Experience conducting machine learning research and shipping models to production
  • Strong experience building and deploying production-grade machine learning systems
  • Strong experience with Python and PyTorch
  • Experience designing experiments and evaluating model performance
  • Ability to work across research and engineering disciplines to deliver business impact
  • Strong communication skills and the ability to explain complex technical concepts clearly
  • Experience working collaboratively in cross-functional environments
Nice to Have
  • Experience communicating research externally through papers, conferences, or open-source contributions
  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience building and maintaining large-scale ML infrastructure or MLOps systems
  • Experience in fast-paced startup environments
Benefits
  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with a strong culture of taking it
  • Weekly team lunches with dietary accommodations
  • Hybrid work with core in-office days and flexible remote options
  • Leadership and technical learning sessions
  • Career development and continued growth support
  • Up to 8 weeks work-from-anywhere policy
  • A deeply inclusive, human-centered culture
Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000-$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond-and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people-and we're building technology that does the same.

Ready to join us? Apply here or reach out directly-we're excited to meet you.

A Quick Note as You Apply
  • Please apply through the website rather than emailing [emailย protected].
  • For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations.
  • Avoid including protected demographic information.
  • Keep responses authentic and in your own voice.
$170,000 - $200,000 a year
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.
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