Job Description Summary

The Principal AI Scientist will work across teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will be responsible for leading multiple projects to define, develop, deliver and execute on our science roadmap and vision around foundation models and Generative AI leveraging large healthcare data sets. You must show strong passion, and invest independent time towards learning, researching, and experimenting with new innovations in the healthcare field.

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

Job Description

Roles and Responsibilities

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models to join the newly formed GE Healthcare AI group. As the Principal 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. You will exhibit mastery in core ML algorithm, detect flaws/limitations in existing systems, propose improvements, and a have a great product sense, as well as production sense. you will bring synergy between science and engineering by contributing to all stages of model development from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop.

Additionally, you will be responsible for:

• Driving org wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.
• Driving for science projects: from idea to offline evaluation, to deployment, to experiment, to feedback, to model improvements.
• Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.
• Communicating verbally and in writing to our clients with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.
• Designing and implementing networks 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.
• Developing innovative machine learning techniques and advancing the research agenda of the team you work on, while also collaborating with peers across the organization.
• Exploring learning from human feedback and assisting humans evaluating AI.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents where appropriate.
• Staying current on published state-of-the-art algorithms and competing technologies.
• Collaborating with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into 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/evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.

Basic Qualifications

• Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering,
  mathematics or relevant discipline.
• 2+ years of experience of leading a high-performing team of AI scientists as tech lead.
• Demonstrated expertise in building large scale AI such as generative AI models, large vision/language models, and multi-modal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
• Demonstrated expertise in large-scale training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
• Demonstrated expertise in building large ML Systems: feature-store design, deployment ML software, performance, data-scale, model-scale, model-storage, model-servicing, model-update frequency, etc.
• Demonstrated experience in designing feature: identify key features, formulation, normalization, data quality/sufficiency, encoding, storage, etc.
• Strong implementation experience with a variety of high-level languages (e.g., Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
• Strong experience with high-dimensional imaging data and waveform/time-series data.

Preferred Qualifications

• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.)
• Skills to influence Cross functional teams within GE HealthCare
• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Strong experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Strong experience working with large scale AI training.
• Excellent collaboration and communication skills, including code documentation, oral presentation.
• Passionate to be hands-on and help invent the future of next-gen AI in 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.
• While GEHC does not currently require U.S. employees to be vaccinated against COVID-19, some GEHC customers have vaccination mandates that may apply to certain GEHC employees.
• 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 or Seattle, WA.

About Team

GE Healthcare teams are based in the US (San Ramon, Seattle), 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.

Mentorship & Career Growth

We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.

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.

The salary range for this position is $195K - $358K base. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. In addition, this position is eligible for a performance bonus. Available benefits include health, welfare, retirement and paid leave.

Inclusive Team Culture

Here at GEHC, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences. 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.

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.

Relocation Assistance

Available.