Staff Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Gehc. Haifa HEALTHCARE HA IL 2 · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and bring clinical AI models, including vision and diffusion systems, into production
- Guide models from incoming data through training, assessment, release, monitoring and ongoing refinement
- Prepare large medical datasets by checking quality, preprocessing data and maintaining efficient pipelines
- Make technical choices that balance scale, maintainability and practical operating limits
- Turn research from clinical AI scientists into solutions ready for use in products
What you bring
- A master’s or doctoral degree in computer science, electrical or biomedical engineering, or a related discipline
- Substantial practical experience delivering machine-learning systems into production
- Strong grounding in machine learning, deep learning, computer vision and natural language processing
- Fluent English for both spoken and written communication
Who this fits
This senior technical leadership role suits an experienced machine-learning engineer who can work across the model lifecycle and make independent technical decisions. The position is based in Haifa, Israel, and relocation assistance is unavailable.
From the employer
Job Description Summary
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.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.
Additional Information
The job is open to men and women equally
Relocation Assistance Provided: No