Staff Machine Learning Engineer
Haifa, Haifa District, Israel
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, 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
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- Prior experience working with medical imaging data is highly preferred.
Qualification wording
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.
Education & alternatives
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.
Tools in this posting
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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.
Posting record
Report an errorOpen 4 monthsWe first saw this listing 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 25, 2026 · 120 days ago
- Recorded sightings
- 224
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on gehc.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
The Staff 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
- 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.
- Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.
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.
- 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.
- Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews.
- Independent, self-learner, and results-oriented.
- Fluent English (speaking and writing).
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.
#LI-TM1
Additional InformationThe job is open to men and women equally
Relocation Assistance Provided: No
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Haifa, Haifa District, Israel
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- Work authorization
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