Staff Machine Learning Engineer

Reposted Yesterday
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Haifa, ISR
In-Office
Senior level
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
Senior technical leader designing, developing, and deploying production-grade AI for medical imaging. Own end-to-end model lifecycle (data ingestion, training, evaluation, deployment, monitoring). Focus on vision-language, diffusion, and multimodal models; collaborate with scientists, engineers, product, and clinical experts to productionize AI solutions.
Summary Generated by Built In
Job Description SummaryThe 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.

#LI-TM1

Additional Information

The job is open to men and women equally

Relocation Assistance Provided: No

Skills Required

  • 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.
  • 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 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
  • Retirement Support Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
  • Strong & Reliable Incentives Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.

GE Healthcare Insights

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The Company
HQ: Chicago, IL
50,282 Employees
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.

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