Director of AI, Foundation Models

Key Skills

Aartificial intelligence, Bayesian networks, Computer Vision (CV), Databricks, GPUs, HuggingFace, Kubeflow, Kubernetes-K8s, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

As a Director of AI in a newly formed GE Healthcare AI organization, you will be responsible for leading multiple teams to define, develop, deliver and execute on our science roadmap and vision around foundation models and Generative AI leveraging large healthcare data sets. You will manage and be responsible for delivering some of our most strategic technical initiatives. You will provide thought leadership to scientists and engineers to invent and implement large language and vision models.

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, computer vision, multi-modal learning, 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

Roles and Responsibilities

Are you passionate about using AI to transform healthcare? We are looking for a highly motivated leader passionate about foundation models and Generative AI to join the newly formed GE Healthcare AI group. As the Director of AI, 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:

• Leading AI research and development efforts to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
• Hiring, growing, and managing highly educated and independent AI scientists and managers building foundational models and generative AI.
• Setting the roadmap and own the OKR for AI/ML systems that power key experience on GEHC websites and apps.
• Driving Strategy and defining best practices for the Generative AI team.
• Participating in key technical and design discussions with technical leads as a hands-on manager.
• Driving research innovation, technical excellence, business impact, staying current on published state-of-the-art algorithms and competing technologies, and identifying areas of opportunity for the team.
• Fostering collaboration across the AI/ML research teams and with other cross-functional teams.
• Building strong relationships with stakeholders to understand their needs and provide strategic input on AI research initiatives.
• Driving org wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.
• Operating at business breath and technical depth, understanding details of company goals, as well as being able to navigate and influence the GEHC data platform and AI/ML technology stacks.
• Helping to grow a larger AI science and analytics community within GEHC.

Basic Qualifications

• Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, mathematics or relevant discipline.
• 6+ years of working experience as a data scientist.
• 3+ years of experience in leading and mentoring a team of data scientists, data engineers and machine learning engineers in delivery MLaaS and/or MLaaP.
• Demonstrated expertise in large-scale foundational and large language models training, pre-training, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
• Demonstrated experience in building/delivering 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 history of delivering high impact machine learning projects and products from concept to finish line.
• Demonstrated history of leadership to articulate, inspire and execute a compelling ML as a Product and ML as a Service vision.
• Experience with a variety of high-level languages (e.g., Python) and frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, TensorFlow, KubeFlow etc.

Preferred Qualifications

• Publication record in top conferences (such as NeurIPS, CVPR, ICML, etc.).
• Skills to influence Cross functional teams within GE HealthCare.
• Strong Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
• Experience working with large scale AI training.
• Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
• Experience with high-dimensional imaging data and waveform/time-series data.
• Experience with core machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, ranking and applied Bayesian statistics and dynamic linear models, NLP, Computer vision), and technologies (Kubernetes, spark, Databrick, GPU, etc.)

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.

The salary range for this position is $230K - $430K 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.