Senior GenAI Research Engineer (AI Agent), Digital Health

Samsung Research America • Mountain View, CA

3d • Onsite

About The Position

Samsung Research America Digital Health Team is looking for an outstanding Senior-level ML Research Engineer with solid Generative AI/Large Language Model technology background and extensive industry experience in building, scaling and optimizing ML pipelines. You must have a strong track-record of success in commercializing GenAI/LLM products. You will play a key role in delivering innovation in digital health domain, create technologies, deploy and validate novel technologies, and transfer code to production. You will also author scientific publications in top-tier computing venues. This team is the right fit for you if you love working with the latest 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.

Requirements

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or equivalent combination of education, training, and experience
• 5+ years of experience in ML, with a strong track record of shipping consumer-facing AI products at scale
• Experience building and deploying scalable GenAI/LLM applications, with tools such as VertexAI, HuggingFace, Langchain and OpenAI
• GenAI Expertise: Deep understanding of transformer architectures, LLM fine-tuning, and modern generative AI methodologies
• Agent Expertise: Proven track record in building and deploying autonomous agents, including experience with frameworks like LangGraph, CrewAI, or Semantic Kernel
• Standard Mastery: Hands-on experience with MCP for connecting agents to external business tools/data and A2A for multi-agent coordination
• Technical Stack: Expert proficiency in Python and deep learning frameworks (e.g., PyTorch)
• Evaluation Expertise: Demonstrated experience building scalable, data-driven frameworks to measure LLM performance, safety, and robustness in real-world scenarios
• Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams

Nice To Haves

• Experience in NLP and Conversational AI
• Experience in LLM validation, reliability, toxicity/harmfulness avoidance
• 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
• Experience with agentic workflows, multi-step reasoning, and tool-use integration
• Contributions to open-source GenAI projects or publications at top-tier AI conferences (NeurIPS, ICML, ICLR)
• Experience with automated prompt tuning frameworks (e.g., DSPy)
• Familiarity with emerging 2026 security standards like ISO/IEC 42001 for agentic systems

Responsibilities

• Lead the development of our next-generation autonomous agent ecosystem. In this role, you will bridge the gap between state-of-the-art ML research and production-grade consumer applications, specifically focusing on multi-agent orchestration and standardized communication protocols. You will be responsible for building resilient, interoperable agents that solve complex, multi-step tasks at scale while adhering to emerging industry standards like A2A and MCP.
• Agentic System Architecture: Design and deploy sophisticated multi-agent systems capable of long-horizon reasoning, planning, and autonomous task completion.
• Protocol Standard Adoption: Implement and optimize agentic workflows using the Model Context Protocol (MCP) for seamless tool and data integration.
• Interoperability Leadership: Architect cross-platform collaboration using the Agent-to-Agent (A2A) protocol to enable secure communication and task delegation between independent agents.
• End-to-End Product Delivery: Translate research breakthroughs into high-impact consumer features, managing the full lifecycle from prototyping to large-scale production deployment.
• Advanced Evaluation & Safety: Develop robust evaluation frameworks—including LLM-as-a-Judge and scenario-based testing—to ensure agent reliability, safety, and alignment.
• Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level