Job Description Summary
As an AI ML Engineer in GE HealthCare, you will design, develop, and deploy machine learning models and supporting software for automated measurements, detection and classification of anatomy in ultrasound imaging systems. This role spans data strategy, model architecture, integration with on-scanner services, and performance validation to meet clinical, regulatory, and usability requirements.
You will be part of General Imaging Primary Care Ultrasound engineering team defining, developing, and AI Features for Medical Ultrasound products in a fast-paced, agile development environment, utilizing the latest software development technologies and infrastructure. We are an industry leader in medical ultrasound in the market, and you will be contributing to cutting-edge innovations that shape the future of healthcare.
Job Description
Roles and Responsibilities
Software Design & Implementation : Design and implement AI Features for GE Healthcare's Medical Ultrasound products, ensuring adherence to high standards of quality and performance.
Requirements & Specifications : Author software requirements and design specifications, acting as a feature lead by managing scheduling, estimating efforts, and overseeing implementation.
Testing & Verification : Develop and execute unit, integration, and system tests to validate design and implementation throughout development cycles.
Data Strategy & Acquisition: Define data collection plans aligned with regulatory and performance requirements.
Annotation: Develop annotation protocols for segmentation and caliper placement based on anatomical and workflow requirements working with Clinical partners
Dataset Curation: Define image stratification categories, pathology/anatomy @types, confounders and probe/system metadata to ensure AI model performance across variety. Organize, maintain and summarize structured datasets for training, validation, and testing.
Model Development: Collaborate with AI Scientists on model architecture decisions by providing key insights. Generate augmentations to address low-data regime. Validate data readiness for SSL pretraining and multi-task learning pipelines.
Integration & Software Engineering Integrate AI models into the ultrasound platform. Implement pre- and post-processing pipelines for segmentation and measurement inferencing. Ensure seamless integration with existing UI/UX workflows.
Performance Evaluation: Design evaluation strategies for model accuracy, segmentation quality, and measurement error metrics. Conduct subgroup analyses and report compliance with CTQs. Lead validation studies for cross-system performance.
Risk & Compliance: Identify technical/Clinical risks and propose mitigation plans. Ensure compliance with quality, privacy, security, and regulatory standards during development.
Agile Collaboration : Collaborate with project team members using the Agile Scrum methodology to deliver high-quality software solutions.
Mentorship : Mentor and guide other engineers on the team, promoting the development of high-quality software using static analysis tools, design reviews, and code reviews.
Technical Leadership : Lead by example, driving engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs. Analyze design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture viewpoint.
Continuous Improvement : Support and drive the team's efforts in continuous improvement by enhancing efficiency, eliminating duplication, and leveraging product and technology reuse.
Code Standards & Performance : Write code that meets established standards and delivers the desired functionality. Understand and assess application performance to ensure optimal outcomes.
Communication : Proactively share information across the team, ensuring it reaches the right audience with the appropriate level of detail and timeliness.
Education Qualification
Bachelor's degree in Data Science, Computer Engineering, Computer Science, electrical engineering or related computer degree.
4 years of experience writing Python and C++ code towards building robust, efficient, scaled-up software systems
4+ years of hands-on experience developing Machine Learning/ Deep Learning algorithms using PyTorch/TensorFlow/Keras
Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns
Desired Characteristics / Technical Expertise
Proven hands-on experience in development and implementation of Image Processing/ Computer Vision algorithms
Strong understanding of optimization techniques to run AI models on GPU
Strong working knowledge of SQL for data querying.
Ability to take ownership of small and medium sized tasks and deliver while mentoring and helping team members.
Software Reliability and Performance : Deep understanding of software reliability, fault detection/isolation, and performance algorithm techniques.
Regulated Standards Compliance : Experience in developing software according to regulated standards for the Software Development Life Cycle (SDLC) within the Medical Device industry.
Agile Methodologies & Software Quality Systems : Familiarity with Agile software development practices and software quality systems.
Software Configuration Management : Experience with Software Configuration Management tools such as Perforce and Git.
Adaptability : Ability to excel in a fast-paced and dynamic work environment.
Test Case Development : Experience in developing test cases in C++ using a framework.
Must be willing to work onsite at least 3 days a week in Waukesha, Wisconsin
Medical Industry Experience (Preferred) : Prior experience working as a software engineer in the medical (ultrasound) industry is preferred.
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 $87,200.00-$130,800.00 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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088\EEOC\KnowYourRights\10\20.pdf) . 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
