Job Description Summary

At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge – including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits. To find out more, visit: https://jobs.gecareers.com/science-technology

We are hiring an AI Science Manager leading the development of foundation models. As an AI Science Manager, you'll partner with engineering and business teams, and will be responsible for directing a team of 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.

The successful candidate will possess both technical and product road-mapping skills. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to AI scientist, engineers, and software developers. What is of critical importance, the candidate will be an excellent technical team manager, someone who can demonstrate strong technical leadership as well as knows how to hire, develop, and retain high quality technical talent.

Job Description

Roles and Responsibilities

• Lead a team of AI scientist and AI engineers to work with large-scale datasets, design and develop novel foundation models based on medical images, electronic medical records, waveforms, and clinical reports.
• Lead the model development lifecycle including model design, experiment, evaluation, prototyping, and production.
• 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.
• Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities.
• Demonstrate strong technical leadership as well as knows how to hire, develop, and retain high quality technical talent.

Required Qualifications

• Graduate degree in computer science or related areas with 6 years of industry experiences (PhD preferred).
• 2+ years of science or engineering manager experience.
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization), with publications in NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, EMNLP, ACL.
• Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) In depth experience with Spark/Hadoop and either PyTorch/Tensorflow.
• Experience creating production environment data analytics and applications.

Preferred Qualifications:

• Extensive experience with handling noisy real world medical and patient data.
• Experience working with large scale AI training. 
   

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.

About Team

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.

Work/Life Balance

Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don’t focus on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.