Senior GenAI Research Engineer (AI Agent), Digital Health

Posted 5 hours ago

Job Description

Lab Summary:

We are an interdisciplinary team with an aim to empower providers, consumers, and clinical researchers. We develop GenAI/LLM-based health applications for engaging customer experience, create prognostic biomarkers by applying clinically explainable AI on advanced sensing technology, explore use cases by co-innovating with our partners, and design services through pilots that eventually turn into groundbreaking commercial, consumer-grade products that are used every day. Our work has been internationally recognized with 100+ peer-reviewed publications.

Position Summary:

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.

Position 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.
This role requires a unique blend of deep theoretical knowledge in LLMs and a proven track record of shipping production-grade AI features to millions of users.
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.

Required Skills:

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

Special Attributes:

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

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Base Pay Range

$158,800—$218,100 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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