Job Description SummaryThe AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.
Job DescriptionAbout the RoleAt GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do- Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
- Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
- Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
- Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
- Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
- Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
- Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
- Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required QualificationsEducation- Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
- PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning- Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
- Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
- Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering- Strong programming skills in Python and C++.
- Experience developing scalable, maintainable, production-quality software.
- Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure- Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
- Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
- Experience working with large-scale model training or inference infrastructure.
Healthcare Data- Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications- Experience solving complex engineering problems with ambiguous requirements.
- Experience deploying large-scale distributed AI systems.
- Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
- Experience building production data platforms and AI-powered software applications.
- Track record of delivering machine learning solutions using large real-world healthcare datasets.
- Experience optimizing large-scale AI training and inference performance.
Work EnvironmentGlobal CollaborationOur AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life BalanceWe value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career GrowthYou'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 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.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.
Relocation Assistance Provided: Yes
