Job Description Summary

The Staff AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.

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

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models, scalable AI tools, and Healthcare AI models to join the newly formed GE Healthcare AI group. As the 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.

• Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation.

• You will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization.

• Explore learning from human feedback and assisting humans evaluating AI

• Build prototypes to enable development of high-performance AI 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.

Qualifications/Requirements:

Basic Qualifications:

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 4 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 1 year AI development for industrial applications in a commercial setting.

• Demonstrated expertise in developing scalable AI tools.

• Implementation experience with a variety of high-level languages (e.g. Python) and frameworks 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 3 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, etc.)

• 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.

• Skills to influence Cross functional teams within GE HealthCare

• Experience and demonstrated capability to handle challenges with vague or abstract problem definition.

• Strong experience working with large scale AI training and building scalable AI tools.

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.

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.

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.

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.

While GE Healthcare does not currently require U.S. employees to be vaccinated against COVID-19, some GE Healthcare customers have vaccination mandates that may apply to certain GE Healthcare employees.

GE 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.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

For U.S. based positions only, the pay range for this position is $143,424.00-$215,136.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.