Staff , GenAI Infrastructure Engineer

Lab Summary: 

Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services.  We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory submissions. Millions of Samsung users’ lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience.  Join us! 

Position Summary

Samsung Research America Digital Health Team is looking for an outstanding GenAI Infrastructure Engineer with solid ML/AI/Generative AI/Large Language Model technology background and extensive industry experience in building, scaling and optimizing ML pipelines. You need to have a strong track-record of success in industrial settings commercializing products, preferably GenAI/LLM applications. You will play a key role in delivering innovation in digital health domain, create technologies, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid technical skills and project experiences in areas of generative AI and Large Language Models. This team is the right fit for you if you love working with the latest trend and technologies in LLMs, MLOps and ML more broadly.

You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.

Position Responsibilities:

• Architect, develop and maintain cloud infrastructure and data pipeline for scalable service launch.
• Build, scale, and optimize GenAI/LLM applications and apply best in class MLOps to productionize those workloads.
• Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models.
• Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs.
• Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap.

 Experience Requirements:

• Graduate degree (MS or Ph.D) in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent combination of education, training, and experience
• Experience working as a DevOps team member building and deploying scalable GenAI/LLM applications, with tools such as VertexAI, HuggingFace, Langchain and OpenAI
• 6 years of hands-on industry data science experience, leveraging typical ML and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch
• Experience building and deploying production-grade ML applications on AWS/Azure/GCP
• Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams

Special Attributes (nice to have):

• Experience in NLP and Conversational AI.
• Experience in LLM validation, reliability, toxicity/harmfulness avoidance.
• Experience with building knowledge graphs from unstructured texts.
• Experience with vector DB.
• Strong mathematics background, especially statistics.
• Turn the analyzed data into actionable insight and/or understandable visualization.
• Product development and prototyping experience in order to implement and validate solutions.
• Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data.
• Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers.
• Experience operating under HIPAA/CCPA/GDPR is a plus.