AI Scientist at GE Healthcare

Haifa, HA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical ImagingIndustries

Requirements

Master’s Degree in EE, CS, or equivalent field plus 2 years AI development for industrial applications
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 high-dimensional imaging data
A desire to be hands-on and help invent the future of next-gen AI in Healthcare!
Preferred: Ph.D. in EE, CS or equivalent field plus 2 years’ experience in computer vision

Responsibilities

Design and implement networks to provide automation of clinical tasks
Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
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 for multiple teams or complex scenarios

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningGenerative AIComputer VisionSegmentationObject DetectionMulti-modal LearningPrompt TuningModel DistillationResponsible AIQuantizationMedical ImagingPyTorchTensorFlow

Questions & Answers

Common questions about this position

What kind of work arrangement does this role offer?

This information is not specified in the job description.

What is the salary or compensation for this AI Scientist position?

This information is not specified in the job description.

What key skills are required for the AI Scientist role?

The role requires expertise in machine learning, statistical analyses, deep learning, generative vision models, multi-modal learning, and medical imaging, along with the ability to design networks, implement algorithms, and stay current on state-of-the-art technologies.

What is the team environment like at GE Healthcare for this role?

You will work in a collaborative development environment with a team addressing statistical, machine learning, and data understanding problems, collaborating with peers across the organization on service-oriented platforms with reusable components.

What makes a strong candidate for this AI Scientist position?

A strong candidate is highly motivated and passionate about medical imaging and foundational AI models, with the ability to develop innovative machine learning techniques, propose unique deep learning capabilities, pursue patents, and advance the team's research agenda.

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.

Regulatory challenges may delay AI application expansions in healthcare.

Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.

The company supports over 300,000 patients daily with its healthcare technologies.

GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.

Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.

Collaboration with Wayra accelerates digital health innovation in EMEA.

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