FAQs
What is the primary focus of the Staff AI Scientist role?
The primary focus is on developing and implementing novel machine learning algorithms, particularly in the area of large language models, to automate clinical tasks using various healthcare data types.
What qualifications are required for this position?
A Master's Degree in a STEM major plus 5 years of AI development experience in industrial applications, or a Ph.D. in a STEM major with 3 years of relevant experience or 1 year of AI development experience specifically in healthcare applications.
Is publication experience necessary for applicants?
Yes, applicants are required to have publications as the first author on topics related to large language models, foundational models, multimodal models, or self-supervised learning.
What programming languages should candidates be proficient in?
Candidates should have implementation experience with high-level languages such as Python and C++.
Are there specific tools or frameworks the candidates should be familiar with?
Yes, experience with frameworks and tools like DeepSpeed, HuggingFace, Megatron, PyTorch Lightning, and various MLOps methods is desired.
What kind of data will candidates be working with?
Candidates will work with large-scale datasets, including high-dimensional imaging data and waveform/time-series data.
What type of experience is preferred regarding AI training?
Experience in large-scale AI training is preferred, along with a deep understanding of machine learning algorithms and modeling techniques.
Is this position open to individuals from diverse backgrounds?
Yes, GE HealthCare is an Equal Opportunity Employer, and they value inclusion and diversity in the workplace.
Does the company provide relocation assistance for this position?
No, relocation assistance is not provided for this role.
What values does GE HealthCare emphasize for its employees?
GE HealthCare emphasizes humility, trust, transparency, focus, ownership, and integrity as core values for its employees.