AI Engineer - Foundation Models
at GE Healthcare
Seattle, WA 98108, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Jun, 2024 | USD 215424 Annual | 19 Mar, 2024 | 2 year(s) or above | Machine Learning,Natural Language Understanding,Computer Science,Java,Deep Learning,Programming Languages,Optimization,Workshops,Computer Vision,Distillation,Conferences | No | No |
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Description:
JOB DESCRIPTION SUMMARY
Are you passionate about using AI to transform healthcare? We are looking for highly motivated individuals, passionate about generative AI, medical imaging foundational models, deep phenotyping, precision medicine to join the newly formed GE Healthcare AI group. As an AI Scientist, you will partner with engineering and business teams, and will work with other AI scientists and AI engineers to build new medical imaging foundation models as a new AI capability of GE Healthcare and deliver state-of-the-art solutions to internal and external customer’s business and mission problems. Your team will be working with terabytes of text, images, and multimodal patient data to address real-world healthcare challenges.
BASIC QUALIFICATIONS
- Graduate degree in computer science or related areas with two years of industry experiences.
- Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with related software development experiences.
- Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) In depth experience with Spark/Hadoop and PyTorch/Tensorflow.
- Experience working with large scale AI training, prompt tuning, distillation, robustness, quantization.
PREFERRED QUALIFICATIONS
- Experience with handling noisy real world medical and patient data.
ELIGIBILITY REQUIREMENTS
- Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
- Must be willing to travel to attend meetings, workshops, conferences & etc.
- Must be willing to relocate and work out of an office located in Bellevue, WA.
ABOUT US
At GE HealthCare (NASDAQ: GEHC), we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. 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.
Responsibilities:
Your responsibilities include the following:
-
Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
- Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
- Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
- Staying current on published state-of-the-art algorithms and competing technologies.
- Contributing to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.
REQUIREMENT SUMMARY
Min:2.0Max:7.0 year(s)
Other Industry
IT Software - System Programming
Other
LLM
Proficient
1
Seattle, WA 98108, USA