68 applicants

Company

GE HealthCare · 6 hours ago

Machine Learning Engineer

United States

Full-time

Remote

Mid Level

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Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Develop ML models for a variety of clinical use cases. Including:

Development of model training pipelines.

Curation and construction of datasets suitable for model training.

Prepare analysis on the performance of ML models, characterise their performance.

Prepare technical documentation describing ML models, consistent with our quality management procedures.

Work effectively with other members of the ML team and other cross-functional stakeholders in development projects, including clinical, regulatory, etc.

Develop, support, and enhance prototypes and product concepts.

Develop, support, and enhance internal tools and services for machine learning.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonPyTorchDockerImage ProcessingData HandlingMedical ImagingISO13485Technical Documentation

Required

A degree in a technical discipline, or an MSc or PhD in a relevant field.

Some experience applying machine learning in a commercial setting or a PhD/MSc with a focus on machine learning.

Excellent programming and software engineering skills, comfortable working with data in multiple formats, both structured and unstructured.

Proficiency in Python (ideally PyTorch library) and using Docker containers.

Must be willing to travel as required.

Excellent interpersonal and communications skills (both written and verbal) with all levels of an organization; able to build good working relationships.

Self-starter - requires minimal direction to accomplish goals, proactive and enthusiastic.

Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources.

Exceptional organizational skills and attention to detail.

Preferred

A good understanding of machine learning, and its use in solving complex real-world problems.

Skilled in the use of Python for machine learning, and ideally using Pytorch.

A solid understanding of image processing and analysis techniques for noisy data.

A solid understanding of software engineering methodologies (e.g., version control, bug tracking, software development practices).

The ability to comfortably work with large volumes of data.

Experience in medical imaging, ideally ultrasound.

Experience with development under ISO13485.

Company

GE HealthCare

Glassdoor

4.2

GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.

Founded in 1892

Chicago, Illinois, USA

10,001+ employees

http://www.gehealthcare.com

H1B Sponsorship

GE HealthCare has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (1)

2021 (1)

2020 (3)