GE Healthcare
Healthcare · Medical devices
- HQ
- Chicago, US
- Founded
- 2004
- Website
- gehealthcare.com
Healthcare · Medical devices
GE Healthcare currently has 27 active AI-related roles in our index. The most common open titles are: Senior Staff AI Scientist (2), Senior Staff Data Scientist (2), Staff AI Scientist (2), Staff Software Engineer (2), AI Engineer. Most positions are in Engineering and Research.
GE Healthcare's active AI hiring is concentrated in: application (37%), post-training (26%), agents (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
GE Healthcare is hiring AI talent in: India (12 roles), United States (6 roles), Israel (2 roles), France (2 roles).
Job postings at GE Healthcare most frequently mention: Healthcare & Biomedical ML, Data Quality, Model Lifecycle Management, Machine Learning, HIPAA.
In the past 30 days, GE Healthcare has posted 21 new AI-related roles.
GE Healthcare currently has 33 active AI-related job listings. The majority of these roles are in the application stage, accounting for 30% of the total, followed by roles in agents at 24% and post-training at 21%. Engineering is the most frequent function, with 22 listings, and the company is hiring in India and the United States. Frequently appearing tech tags include fine_tuning, multimodal, and model_serving, suggesting a focus on deploying and optimizing AI models.
| Title | Stage | AI score |
|---|---|---|
| Senior Staff AI Scientist Senior Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on advanced AI research and development of intelligent systems using ML, Deep Learning, Generative AI, LLMs, and Agentic AI. The role involves designing, prototyping, and validating novel AI algorithms, with a strong emphasis on Responsible AI practices and leveraging AWS Bedrock and SageMaker. The candidate will lead experimentation, publish findings, and mentor junior staff, translating research into business impact within the healthcare domain. | AgentPost-train | 9 |
| Sr AI Engineer This role focuses on designing, building, and deploying agentic AI systems for healthcare use cases. It involves orchestrating LLMs, tools, data sources, and workflows to create intelligent agents that can reason, plan, act, and learn in complex environments. The role bridges AI research with scalable systems for regulated healthcare settings. | Agent |
| 9 |
| Staff Software Engineer Staff Software Engineer at GE Healthcare focused on building and optimizing large language model (LLM) based agent systems. Responsibilities include fine-tuning models (SFT, RLHF), prompt engineering, function calling optimization, advanced reasoning research (CoT, reflection), building LLM evaluation systems, developing Agent runtime systems (execution engine, memory, tool calls), multi-Agent collaboration mechanisms, and optimizing Agent scheduling. The role also involves connecting to and developing on open-source Agent frameworks like LangChain. | AgentPost-train | 9 |
| Senior Scientist – Image Analytics Senior Scientist in AI/ML Domain focused on building early-stage AI-driven solutions in Image Analytics and Computer Vision for healthcare products. The role involves applied research, developing and optimizing deep learning algorithms for medical imaging, implementing advanced AI techniques like generative AI and foundation models, and building proof-of-concepts. Collaboration with cross-functional teams and transition of research to product development are key aspects. | Post-trainAgent | 9 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at GE Healthcare focusing on designing, developing, and deploying production-grade AI systems for medical imaging products, specifically vision-language models, diffusion models, and multimodal learning. The role involves the full model lifecycle from data ingestion to deployment and monitoring, requiring strong ML/DL frameworks experience and software engineering fundamentals. | Post-trainServe | 9 |
| Senior Staff AI Scientist Senior Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on research and leadership in medical imaging and Physical AI. The role involves defining research vision, architecting state-of-the-art systems, and translating AI research into regulated, commercially deployed healthcare solutions. Requires deep expertise in learning from real-world data, physical signals, foundation models, and multimodal healthcare systems, with a strong publication and patent record. The candidate will mentor scientists, influence product roadmaps, and ensure AI systems are safe, robust, and compliant in regulated healthcare environments. | ShipPost-train | 9 |
| Senior Staff Data Scientist Senior Staff Data Scientist at GE Healthcare focusing on advanced medical imaging and multimodal AI research for clinical deployment. The role involves defining research vision, leading development of state-of-the-art solutions using transformers and foundation models, ensuring robustness and evaluation, and translating research into clinically meaningful AI solutions. Requires PhD with 5-8+ years of post-PhD experience, strong publication record, and expertise in medical image analysis, PyTorch, multimodal learning, and MLOps in regulated environments. | ShipPost-train | 9 |
| AI Engineer Seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions using LLMs and foundation models for clinical applications in healthcare. The role involves developing scalable AI systems, automating clinical workflows, and ensuring responsible AI deployment, with a focus on inference pipelines, model serving, and optimization techniques. | ServePost-train | 8 |
| Staff AI Scientist Staff AI Scientist role at GE Healthcare focusing on developing and deploying AI for medical imaging. The role involves designing deep learning models, leveraging foundation and multimodal AI, and collaborating with cross-functional teams to create scalable healthcare products. Requires expertise in deep learning frameworks, medical image processing, and familiarity with healthcare AI regulations. | ShipPost-train | 8 |
| Staff AI Scientist Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on developing and deploying advanced deep learning and multimodal AI models for medical imaging analysis. The role involves translating research into scalable healthcare products, working with cross-functional teams, and adhering to regulatory expectations. | ShipPost-train | 8 |
| Senior Data Scientist Seeking an AI Engineer to design, develop, and deploy intelligent systems using ML, DL, and generative models. Responsibilities include data engineering, model development, deployment, monitoring, exploring GenAI and Agentic AI, and developing agentic platforms. The role involves fine-tuning GenAI models, implementing ML models for various tasks, building AI pipelines, and deploying models to production. Experience with cloud platforms like AWS (SageMaker, Bedrock) and frameworks like LangChain is expected. The role also emphasizes prompt engineering, RAG, system integration, and ensuring model safety and compliance. | AgentPost-train | 8 |
| Technology Director, Connected Health and Artificial Intelligence Technology Director for Connected Health & Artificial Intelligence at GE Healthcare's global innovation engine (HTIC). Responsible for shaping future technology roadmaps in digital health, multimodal data science, device-integrated AI, and clinical workflow intelligence. Drives innovation from research to impact, focusing on high-value AI capabilities, external partnerships, and scalable foundation technologies. Requires a Ph.D. and 10+ years of experience in AI research and development, with a proven track record in healthcare and securing external funding. | ShipData | 8 |
| Principal AI Architect GE HealthCare is seeking an AI Architect to design the foundation and strategy for their Gen AI program. This role involves architecting scalable AI models and systems, defining technical roadmaps, and overseeing the deployment and MLOps/LLMOps for generative AI solutions, including RAG patterns and fine-tuning. The architect will also ensure governance, security, and ethical AI practices, mentoring a team and staying updated on advancements. Experience with cloud platforms, AI/ML frameworks, and specific Generative AI tools is required, with a preference for healthcare industry experience and knowledge of regulations. | AgentServe | 8 |
| Senior Director - Software engineering Senior Director of Software Engineering at GE Healthcare, responsible for leading teams to deliver quality software products, including driving the adoption and implementation of AI, Generative AI, and Machine Learning technologies across products, engineering processes, and business operations. The role involves managing teams, defining strategy, and ensuring compliance and responsible AI practices. | Ship | 7 |
| Senior Software Engineer Senior Software Engineer at GE Healthcare focused on designing, implementing, and optimizing MRI image reconstruction algorithms. This role involves both classical methods and deep learning-based reconstructions, with a strong emphasis on performance optimization, data handling, and engineering best practices for clinical-grade products. | Post-trainServe | 7 |
| Senior Staff Data Scientist Senior Staff Data Scientist role focused on architecting and implementing enterprise-grade AI/ML solutions for GE HealthCare's strategic priorities. The role involves collaborating with cross-functional teams, applying advanced analytics to business challenges like supply chain optimization and commercial strategies, and championing MLOps and engineering standards for production models. Emphasis on delivering measurable business value and thought leadership in ML and GenAI. | Ship | 7 |
| Lead Scientist – Image Analytics Lead scientist to drive the development of advanced AI-driven image analytics solutions for healthcare and industrial applications, focusing on ideation, prototyping, and validation of innovative technologies. | Post-train | 7 |
| Research Engineer II - ML Ops Research Engineer II - ML Ops role at GE Healthcare focused on building and maintaining MLOps pipelines and cloud infrastructure (AWS) to support machine learning research and deployment. The role involves collaborating with researchers and engineers to enable faster innovation and deployment of cutting-edge solutions. | ServePost-train | 7 |
| Staff Cyber Security Engineer – AI Data Protection Staff Cyber Security Engineer focused on Data Loss Prevention (DLP) for AI-related data risks within GE HealthCare. The role involves owning and operating AI DLP platforms, engineering DLP capabilities, assessing AI data protection risks, defining and implementing AI guardrails, and automating DLP workflows. It requires expertise in AI security tools, cloud security, and scripting languages like Python and PowerShell, with a focus on securing enterprise AI adoption and enabling responsible AI use. | Agent | 7 |
| Ingénieur·e Qualité Image The role involves developing and industrializing advanced image processing algorithms, including deep learning approaches, for real-time clinical applications in interventional radiology. The engineer will work on the full development cycle of algorithms, collaborate with clinical experts, define validation strategies, and contribute to technological differentiation. | Post-train | 7 |
| Stage recherche appliquée en santé de la femme Research intern in Applied Research in Women's Health, focusing on mammography. Responsibilities include literature review, implementing identified methods, and validating results using signal processing and machine learning on mammography data. | Post-train | 7 |