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Medical Machine Learning Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

As part of our machine learning team, you will play a vital role in prototyping foundational ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Micron

Machine Learning Engineer

Boise, ID · On-site

Design, implement, and iterate on machine learning models to address specific business challenges ... We offer a choice of medical, dental and vision plans in all locations enabling team members to ...

Micron Technology

Machine Learning Engineer

Boise, ID · On-site

Design, implement, and iterate on machine learning models to address specific business challenges ... We offer a choice of medical, dental and vision plans in all locations enabling team members to ...

Anytime AI

Be Seen First

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

... and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...

Pluralsight LLC

Machine Learning Engineer

$121.60K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage ...

Cymertek

Machine Learning Engineer

Tysons, VA

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Honolulu, HI

Machine Learning Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

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$36.5K

$164.7K

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How much do medical machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for medical machine learning in the United States is $164,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $268,500.00 per year, depending on experience, location, and employer.

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 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 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.

How much does CVS pay AI engineers?

Salaries for AI engineers at CVS Health typically range from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include benefits such as health insurance, bonuses, and stock options, with roles often requiring proficiency in machine learning frameworks and programming languages like Python or TensorFlow.
More about Medical Machine Learning jobs
What cities are hiring for Medical Machine Learning jobs? Cities with the most Medical Machine Learning job openings:
What are the most commonly searched types of Medical Machine Learning jobs? The most popular types of Medical Machine Learning jobs are:
What states have the most Medical Machine Learning jobs? States with the most job openings for Medical Machine Learning jobs include:
What job categories do people searching Medical Machine Learning jobs look for? The top searched job categories for Medical Machine Learning jobs are:
Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 82% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 9% Hybrid, and 4% Remote job distribution, with an average salary of $164,731 per year, or $79.2 per hour.

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

Full-time

Posted 16 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Key Responsibilites
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.

Professional Experience - Minimum
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
Professional Experience - Preferred
  • 2 years of experience with improving performance during large scale data processing
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
  • Excellent data analysis skills.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability