Machine Learning Engineer

Job Description SummaryThe GE HealthCare Ultrasound business consists of ultrasound consoles, handheld ultrasound devices, and ultrasound IT solutions across 5 different market segments. There is a strong emphasis on development of AI solutions for our ultrasound products so we can create additional value for customers and patients. We aim to grow our offerings via organic as well as inorganic developments.
We are looking for a highly numerate and experienced engineer with a passion for machine learning. As part of our R&D team, this individual will be responsible for developing and evaluating machine learning solutions using large datasets of images, for use in our range of ultrasound devices. They will both contribute personally and lead small development teams.
This role is initially within the newly acquired Intelligent Ultrasound team but will work together with teams from other ultrasound segments.

Job DescriptionIn this role you will:

• Lead small development teams, taking responsibility for the design, translating customer requirements into the product specifications.

• 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.

Qualifications:

• A 2.1 or 1st 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.

Desired Skills:

• 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.

• 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.

• Demonstrable experience of taking design responsibility for ML developments.

Inclusion and Diversity 

GE HealthCare is an Equal Opportunity Employer where inclusion matters. 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. 

Behaviours 

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.  

Total Rewards 

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. 

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Additional Information