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Machine Learning Engineer – Lung Ultrasound someone in EST or CST time zone

GE HEALTHCARE Remote, US

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$160k - $240k · Senior Full-time Posted 25 days ago 4 min read

Job Description Summary

The GEHC Advanced Visualization Solutions (AVS) segment, a fast-growing business in GE HealthCare, is the global leader in ultrasound medical devices and solutions. The portfolio spans the continuum of care to enable customers with ultrasound screening, diagnosis, treatment and monitoring of diseases. Our customers are seeking to improve efficiency in radiology and beyond and increase user confidence to provide better clinical outcomes continues to grow. Consequently, the need for AI, digital solutions, and automation, connecting devices and software in one seamless ecosystem continues to proliferate.

Caption Health focuses on clinical applications that aid in early disease detection, using AI to assist in conducting ultrasound scans. The Machine Learning Engineer leads the development and productization of algorithms focused on ultrasound scan guidance and interpretation. This role is responsible for coordination of data transfer and preprocessing, model training and performance assessment, and development of image quality control and model confidence estimation frameworks. Additionally, the engineer helps deploy models for real-time inference on-device.

Job Description

Someone that sits in CST or EST time zone within the USA.

No sponsorship for this role, must be US Citizen or Green Card holder. (No OPT)

Essential 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 (e.g., presence of disease-related findings) from ultrasound frames and clips collected in large multi-center clinical trials.
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 (product, clinical, and regulatory) teams to develop product functional requirements, define clinical use cases, and plan regulatory strategies for marketing approval.
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.
Other duties as assigned.

Basic Qualifications:

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), including developing and tuning custom neural network components such as layers and losses.
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.

Preferred Qualifications:

Experience in lung or cardiac ultrasound, with publications in top-tier machine learning journals or conferences.
Strong teamwork ethic, communication skills, and passion for learning.

We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $160,000.00-$240,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. 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.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

Application Deadline: November 21, 2025

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