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Entry Level Medical Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Medical, Dental & Vision, plus Wellness programs * Paid Time Off : Flexible PTO * Professional ... As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

NY · On-site

$85 - $125/hr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company ...

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company ...

Showing results 21-40

Entry Level Medical Machine Learning information

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How much do entry level medical machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level medical machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Medical Machine Learning jobs?

The most popular types of Medical Machine Learning jobs are:

Infographic showing various Entry Level Medical Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 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.

$150,000 - $450,000 a year
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