Haifa, Haifa District, Israel
Open 4 months, first seen by us 141 days agoDesign, implement and productionize vision and diffusion models for clinical applications
Own the full model lifecycle from data ingestion through training, evaluation, deployment and monitoring
Manage large-scale medical datasets, data quality and preprocessing pipelines
Make technical decisions and tradeoffs focused on scalability and real-world constraints
Translate clinical AI research into production-ready solutions with clinical AI scientists
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field.
Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
Solid understanding of deep learning, computer vision, and natural language processing techniques.
Prior experience working with medical imaging data is highly preferred.
Qualifications - Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. - Significant hands-on experience building and deploying ML systems to production.
Open 4 monthsWe first saw this posting 141 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 141
Up longer than most. Similar jobs usually come down between day 8 and day 76.
Well past GE Healthcare’s usual: its jobs come down by about day 35.
From 5,460 similar postings that came down, and 49 of GE Healthcare’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Significant hands-on experience building and deploying ML systems to production. - Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). - Solid understanding of deep learning, computer vision, and natural language processing techniques.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
The Senior Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE HealthCare medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities
Qualifications
GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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The job is open to men and women equally
Relocation Assistance Provided: No
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Haifa, Haifa District, Israel
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