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Seasonal Medical Imaging Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Comprehensive benefits package including medical, dental, vision, and life insurance * Performance ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

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 ...

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 ...

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Medical Imaging Analyst Our imaging services are growing rapidly, and we are currently seeking a ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

The Medical Imaging Service Engineer installs, inspects, troubleshoots, repairs, calibrates, and ... machines, and supporting equipment. This position requires familiarity with various classes of ...

Medical Imaging Analyst

Denver, CO · On-site

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Medical Imaging Analyst

Denver, CO · On-site +1

$60K - $120K/yr

Perform quality assurance checks on medical imaging data collected during medical and device ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Showing results 41-60

Seasonal Medical Imaging Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do seasonal medical imaging machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for seasonal medical imaging 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.
More about Seasonal Medical Imaging Machine Learning jobs
What cities are hiring for Seasonal Medical Imaging Machine Learning jobs? Cities with the most Seasonal Medical Imaging Machine Learning job openings:
What are the most commonly searched types of Medical Imaging Machine Learning jobs? The most popular types of Medical Imaging Machine Learning jobs are:
What states have the most Seasonal Medical Imaging Machine Learning jobs? States with the most job openings for Seasonal Medical Imaging Machine Learning jobs include:
Infographic showing various Seasonal Medical Imaging 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 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

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Re-posted 28 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