[Remote] Principal Machine Learning Engineer at GE Healthcare

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Medical Technology, HealthcareIndustries

Requirements

PhD or equivalent experience in a technical discipline (e.g., Computer Science, Engineering, Mathematics)
Significant experience applying machine learning to complex problems in a commercial and ideally regulated setting
Excellent interpersonal and presentation skills; able to communicate complex concepts to technical and non-technical audiences
Demonstrated ability to mentor and develop others
Collaborative, proactive, and able to work independently or as part of a team
Strong proficiency in Python and PyTorch for machine learning
Up-to-date knowledge of modern ML image models (e.g., vision transformers, ConvNeXt, diffusion models such as Stable Diffusion, and foundation models)
Solid understanding of image analysis techniques for noisy data
Strong coding skills and experience with version control and bug tracking tools
Experience working within quality management systems and regulated environments

Responsibilities

Oversee the development, support, and enhancement of product lines (e.g., SonoLyst), prototypes, and internal tools
Provide technical leadership and design authority for the development, evaluation, and deployment of machine learning solutions for ultrasound imaging
Mentor and support the professional growth of engineers and scientists within the team
Work within GEHC’s global ISO13485 quality management system to develop medical devices for regulatory submission (e.g., to FDA, CE)
Collaborate with cross-functional teams (console engineering, clinical, regulatory)
Identify and protect intellectual property
Engage with customers and external partners as needed, both pre- and post-sale
Contribute to project documentation and process improvement initiatives

Skills

Key technologies and capabilities for this role

Machine LearningAIUltrasound ImagingTechnical LeadershipMentoringSoftware DevelopmentProject ManagementRegulatory SubmissionISO13485Cross-functional Collaboration

Questions & Answers

Common questions about this position

What is the team size and structure for this role?

You will have overall design authority for a group of approximately 20 engineers, including 4 machine learning engineers.

What are the essential technical skills required?

Essential skills include strong proficiency in Python and PyTorch for machine learning, up-to-date knowledge of modern ML image models like vision transformers and diffusion models, solid understanding of image analysis for noisy data, strong coding skills with version control, and experience in quality management systems.

What is the work location for this position?

The role is based at the Cardiff site, which is a European Centre of Excellence for AI ultrasound development.

What is the company culture like for this team?

The team is high-performing, close-knit, and collaborative, driving innovation at the heart of GE HealthCare’s global ultrasound portfolio.

What qualifications make a strong candidate for this role?

A PhD or equivalent in a technical discipline, significant experience applying machine learning to complex problems in commercial and regulated settings, excellent interpersonal skills, and demonstrated mentoring ability are key.

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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