[Remote] Machine Learning Engineer – Lung Ultrasound (someone in EST or CST time zone) at GE Healthcare

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical Devices, Artificial IntelligenceIndustries

Requirements

BS or advanced degree in Computer Science, Electrical/Biomedical Engineering, Physics, Neuroscience, Statistics, Mathematics, or related fields
5+ years of combined academic and/or industry experience in designing, training, testing, and analyzing deep neural networks (convolutional, recurrent, spatiotemporal, attention-based)
Background in ultrasound or other medical imaging modalities and related software tools such as DICOM, pydicom, opencv, and ITK
Knowledge of computer vision and image processing techniques and methods
Experience with Python and the Python scientific stack (numpy, scipy, matplotlib, pandas, scikit-learn, scikit-image)
Advanced experience with at least one major deep learning framework (Tensorflow, PyTorch, etc)
Experience with writing production code and code review process
US Citizen or Green Card holder
Must reside in CST or EST time zone within the USA

Responsibilities

Develop data processing and labeling pipelines to prepare data for model training, assess model performance, and investigate model failure modes
Perform model optimization and/or develop novel models to predict clinical outputs from ultrasound frames and clips
Design and implement frameworks for assessment of image quality for real-time user feedback during image acquisition
Optimize model architecture and inference for on-device deployment on cost-efficient hardware
Collaborate with cross-functional teams to develop product functional requirements, define clinical use cases, and plan regulatory strategies
Develop internal intellectual property and partake in disclosures and patents of novel ideas
Stay up-to-date with the latest research and advancements in ultrasound and AI

Skills

Machine Learning

Model Training

Model Optimization

Data Processing

Data Labeling

Image Quality Control

Model Deployment

Algorithm Development

Ultrasound

Data Analysis

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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