- Company Name
- Samsung Research America (SRA)
- Job Title
- 2026 Intern, Gen AI/LLM Research (Spring/Summer)
- Job Description
-
**Job Title:**
2026 Intern, Gen AI/LLM Research (Spring/Summer)
**Role Summary:**
Interns in the Digital Health team will contribute to the research and prototyping of AI‑driven health applications, focusing on generative AI, large language models (LLM), retrieval‑augmented generation (RAG), fine‑tuning, and agentic frameworks. Work spans smartphone, wearable, and hearable ecosystems to create tangible health and wellness solutions for patients, clinicians, and caregivers.
**Expectations:**
- Complete Ph.D.-level coursework and research in computer science, AI, or related fields.
- Demonstrate hands‑on experience delivering GenAI/LLM projects with published results.
- Build, evaluate, and iterate prototypes in cloud environments.
- Collaborate with cross‑functional agile teams and present progress to stakeholders.
- Produce clear documentation and visual analytics to translate data insights into actionable outcomes.
**Key Responsibilities:**
1. Design and implement LLM‑based chatbot and agentic solutions for health contexts.
2. Develop and fine‑tune LLM/SLM models using RAG techniques.
3. Conduct automated evaluation of LLM performance in clinical or consumer health settings.
4. Analyze time‑series, recommendation, and NLP data streams from wearables and wearables.
5. Prototype ML/AI models in Python using frameworks such as TensorFlow, PyTorch, or JAX.
6. Deploy and manage prototypes on Azure, GCP, or AWS cloud services.
7. Create data visualizations and reports that translate analytics into usable insights.
8. Contribute to peer‑review publications and conference presentations.
**Required Skills:**
- Current Ph.D. candidate in Computer Science, Electrical Engineering, Biomedical Engineering, or related discipline.
- Proven GenAI/LLM development experience with tangible deliverables (e.g., open‑source code or product mock‑ups).
- Strong programming skills (Python, C++).
- Proficiency with ML frameworks (TensorFlow, PyTorch, JAX).
- Experience with cloud infrastructure (Azure, GCP, AWS).
- Solid knowledge of ML/AI, deep learning, signal processing, and generative AI concepts.
- Competence in SQL/NoSQL, data pipelines, and time‑series analysis.
- Excellent written and verbal communication; ability to present technical work to non‑technical audiences.
- Demonstrated publication record in top-tier academic conferences or journals.
- Additional strengths: recommendation systems, advanced statistics, mathematics, visualization tools (Plotly, Tableau, Matplotlib).
**Required Education & Certifications:**
- Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a closely related field (ongoing).
- No specific certifications required, though familiarity with cloud certificates (e.g., AWS Certified ML Specialty, GCP Professional Data Engineer) is beneficial.
Mountain view, United states
On site
Fresher
19-12-2025