Sr Staff AI Scientist

at  GE Healthcare

JOB DESCRIPTION SUMMARY

The Sr Staff AI Scientist will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

QUALIFICATIONS:

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 6 years AI development for industrial applications in a commercial setting OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years AI development for industrial applications in a commercial setting.
• Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Demonstrated expertise in building deep learning models such as CNN, RNN, LSTM and GANs.
• Strong implementation experience with a variety of high-level languages (e.g. Python) and frameworks (PyTorch, Keras, TensorFlow) and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Experience with high-dimensional imaging data and waveform/time-series data.
• A desire to be hands-on and help invent the future of next-gen AI in Healthcare!

PREFERRED QUALIFICATIONS:

• Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 5 years’ experience in computer vision, machine learning, etc. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.
• Publication record in top conferences (such as NeurIPS, CVPR, ICML, ICLR, etc.)
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Strong experience with various MLOps, ModelOps, FMOps (foundation modelOps) methods.
• Strong experience working with large scale AI training.
• Skills to influence cross functional teams within GE HealthCare

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 work out of an office located in San Ramon, CA

GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.

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.

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about AI to join the newly formed GE Healthcare AI group. As the Senior Staff AI Scientist, you will focus on exciting generative vision, text, speech, time-series, and multi-modal problems related to segmentation, object detection, large-scale generative models, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.

Additionally, you will be responsible for:

• Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
• Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
• Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
• Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.
• Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate
• Stay current on published state-of-the-art algorithms and competing technologies.
• Contribute 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.
• Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.