Staff GenAI Research Engineer, Digital Health jobs in United States
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Samsung Research America (SRA) · 8 hours ago

Staff GenAI Research Engineer, Digital Health

Samsung Research America (SRA) is an interdisciplinary team focused on developing GenAI/LLM-based health applications to enhance customer experiences. The Staff GenAI Research Engineer will play a key role in creating and optimizing ML pipelines for innovative digital health solutions, collaborating closely with product and engineering teams to translate research into consumer-ready applications.

Consumer ElectronicsDigital SignageInformation TechnologyMedical DeviceSoftware
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H1B Sponsor Likelynote

Responsibilities

Bridge the gap between cutting-edge machine learning research and the delivery of high-impact consumer applications. You will be responsible for designing and optimizing large-scale generative systems, with a specialized focus on programmatic prompt optimization and scalable evaluation frameworks
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
Prompt Programming & Automation: Architect and implement automated prompt tuning pipelines using frameworks like DSPy to replace manual "prompt engineering" with structured, optimizable code
Scalable Evaluation Frameworks: Design and build robust, automated evaluation infrastructure for GenAI applications, including LLM-as-a-Judge autorater systems, regression tracking, and golden test sets at scale
Product Implementation: Collaborate with product and UX teams to translate research breakthroughs into seamless, production-ready consumer features
Optimization & Scaling: Develop and maintain high-efficiency inference pipelines and ML pipelines for rapid iteration and production deployment
Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap

Qualification

Generative AILarge Language ModelsML pipelinesPythonDeep learning frameworksDSPyVertexAIHuggingFaceLangchainNLPConversational AIStatisticsHealthcare knowledgeCollaboration skills

Required

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or equivalent combination of education, training, and experience
8+ 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
Prompting Frameworks: Hands-on experience with DSPy (Declarative Self-improving Language Programs) or similar programmatic optimization frameworks
Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
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

Preferred

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)

Benefits

Annual bonus eligibility
Generous benefits to help you live life well

Company

Samsung Research America (SRA)

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Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area.

H1B Sponsorship

Samsung Research America (SRA) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (70)
2024 (56)
2023 (71)
2022 (102)
2021 (69)
2020 (120)

Funding

Current Stage
Late Stage

Leadership Team

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Laszlo Gombos
Senior Director
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Richard Hyun
Director, R&D Strategy
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Company data provided by crunchbase