AI ML Engineer at GE Healthcare

Waukesha, Wisconsin, United States

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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 DevicesIndustries

Requirements

Expertise in designing, developing, and deploying machine learning models and supporting software for automated measurements, detection, and classification in ultrasound imaging
Ability to author software requirements and design specifications, manage scheduling, estimate efforts, and oversee implementation as a feature lead
Proficiency in developing and executing unit, integration, and system tests for validation
Skills in defining data collection plans, annotation protocols for segmentation and caliper placement, dataset curation including stratification, pathology/anatomy types, confounders, and metadata
Experience collaborating on model architecture, generating augmentations, and validating data for SSL pretraining and multi-task learning
Capability to integrate AI models into ultrasound platforms, implement pre- and post-processing pipelines, and ensure seamless UI/UX integration
Knowledge of designing evaluation strategies for model accuracy, segmentation quality, measurement error, subgroup analyses, and cross-system performance validation
Understanding of identifying technical/clinical risks, proposing mitigations, and ensuring compliance with quality, privacy, security, and regulatory standards
Experience with Agile Scrum methodology for collaboration
Ability to mentor engineers, promote best practices via static analysis, design/code reviews
Technical leadership skills for driving engineering best practices, roadmaps, and large-scale programs
Commitment to continuous improvement, code standards, performance assessment, and proactive communication

Responsibilities

Design and implement AI features for GE Healthcare's Medical Ultrasound products, adhering to quality and performance standards
Author software requirements and design specifications, manage scheduling, estimate efforts, and oversee implementation
Develop and execute unit, integration, and system tests throughout development cycles
Define data collection plans aligned with regulatory and performance requirements
Develop annotation protocols for segmentation and caliper placement with clinical partners
Curate datasets by defining stratification categories, pathology/anatomy types, confounders, and metadata; organize and summarize datasets for training, validation, and testing
Collaborate with AI Scientists on model architecture, generate augmentations, and validate data readiness for SSL pretraining and multi-task learning
Integrate AI models into the ultrasound platform and implement pre- and post-processing pipelines for inferencing
Design evaluation strategies for accuracy, segmentation quality, measurement errors; conduct subgroup analyses and validation studies
Identify risks and propose mitigation plans; ensure compliance with quality, privacy, security, and regulatory standards
Collaborate in Agile Scrum to deliver high-quality software
Mentor engineers using static analysis, design reviews, and code reviews
Lead by example in engineering best practices, develop roadmaps and implementation plans for large-scale programs
Drive continuous improvement by enhancing efficiency, eliminating duplication, and leveraging reuse
Write code meeting standards, assess application performance
Proactively share information across the team

Skills

Key technologies and capabilities for this role

Machine LearningAIUltrasound ImagingModel DevelopmentData StrategyDataset CurationAnnotation ProtocolsSoftware DesignUnit TestingIntegration TestingRegulatory ComplianceAgile Development

Questions & Answers

Common questions about this position

What is the employment type for this AI ML Engineer role?

The position is full-time.

Is this AI ML Engineer position remote or office-based?

This information is not specified in the job description.

What key skills are required for the AI ML Engineer role?

Key skills include designing and implementing AI/ML models, software engineering for integration into ultrasound platforms, data strategy and curation, testing and verification, and Agile collaboration.

What is the work environment like for this position?

The role is in a fast-paced, agile development environment within the General Imaging Primary Care Ultrasound engineering team, utilizing the latest software development technologies.

What makes a strong candidate for this AI ML Engineer position?

Strong candidates have experience leading features by managing scheduling and implementation, collaborating with clinical partners and AI scientists, ensuring regulatory compliance, and working in Agile Scrum teams on medical ultrasound AI innovations.

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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