AI Algorithm developer 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

M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Biomedical Engineering or Mathematics from a leading university or equivalent work experience
Proven hands-on 4+ years experience in development and implementation of Image Processing/Computer Vision algorithms (such as image segmentation, detection and classification)
4+ years of hands-on experience developing Machine Learning/Deep Learning algorithms using PyTorch/TensorFlow/Keras
Demonstrated ability to write Python and C++ code towards building robust, efficient, scaled-up software systems
Experience with medical imaging and application on mobile platform would be a strong advantage
Demonstrated problem-solving and leadership skills
Self-starter and willingness to learn
Good communication skills
Good system level understanding

Responsibilities

Develop AI/ML algorithms and tools for analysis and interpretation of ultrasound image data
Translation of product and clinical needs to feasible algorithms
Definition of data requirements for training and evaluation of AI tools
Coordination with other cross-functional teams on requirements, integration and testing
Delivery of internal and regulatory documentation

Skills

Key technologies and capabilities for this role

AIMLDeep LearningPyTorchTensorFlowKerasPythonC++Image ProcessingComputer VisionImage SegmentationDetectionClassificationUltrasound Imaging

Questions & Answers

Common questions about this position

What are the required qualifications for the AI Algorithm Developer role?

Candidates need an M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Biomedical Engineering or Mathematics from a leading university or equivalent work experience, plus 4+ years of hands-on experience in Image Processing/Computer Vision algorithms and Machine Learning/Deep Learning using PyTorch/TensorFlow/Keras.

Is this position remote or on-site?

This is an on-site position at the Haifa site.

What programming languages and skills are needed?

The role requires demonstrated ability to write Python and C++ code, along with experience in PyTorch/TensorFlow/Keras for ML/DL and Image Processing/Computer Vision algorithms.

What is the company culture like at GE HealthCare?

GE HealthCare fosters a culture of inclusion and diversity, where every voice makes a difference, emphasizing behaviors like humility, trust, transparency, focus, ownership, and integrity, with a supportive environment for collaboration and career growth.

What makes a strong candidate for this role?

Strong candidates have experience with medical imaging on mobile platforms, demonstrated problem-solving and leadership skills, are self-starters willing to learn, with good communication skills and system-level understanding.

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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