GE HealthCare AI Science Team Lead 

Israel 

605806725

As a Senior Staff AI Scientist, you will work in a team addressing statistical, machine learning and data understanding problems in a commercial ultrasound technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.

Roles and Responsibilities:

Additionally, you will be responsible for:

• Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.

• Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.

• You will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization.

• Explore learning from human feedback and assisting humans evaluating AI.

• Build prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.

• Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate

• Stay current on published state-of-the-art algorithms and competing technologies.

• Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.

• Research and evaluate emerging technology, industry, and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.

Basic Qualifications:

• Master’s Degree in EE, CS, or equivalent field plus 6 years AI development for industrial applications in a commercial settingORPh.D. in EE, CS, or equivalent field plus 3 years AI development for industrial applications in a commercial setting.
• Demonstrated expertise in building large scale AI such as generative AI models, large vision models, and multi-modal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
• Demonstrated expertise in large-scale training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
• Strong implementation experience with a variety of high-level languages (e.g. Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with imaging data.
• A desire to be hands-on and help invent the future of next-gen AI in Healthcare!

Preferred Qualifications:

• Ph.D. in EE, CS, or equivalent field plus 5 years’ experience in computer vision, machine learning, etc. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.)
• Skills to influence Cross functional teams within GE HealthCare
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Strong experience with various MLOps, ModelOps, FMOps (foundation modelOps) methods.
• Strong experience working with large scale AI training.

Eligibility Requirements:

• Must be willing to travel to attend meetings, workshops, conferences & etc.

Must be willing to work out of an office located in Haifa.

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.