Samsung Research America (SRA)

About the Company

Founded in October 1988, Samsung Research America (SRA) builds upon Samsung's 40-year history in the Bay Area. Headquartered in Silicon Valley, with offices across the United States and Canada, SRA is engaged in researching emerging technology to create new businesses and developing core technology to enhance the competitiveness of Samsung products. We also play a key role in providing the infrastructure to support Samsung's open innovation and university collaboration activities.

Listed Jobs

Company Name

Samsung Research America (SRA)

Job Title

2026 Summer Intern, Research Scientist, VLM

Job Description

**Job Title** 2026 Summer Intern, Research Scientist, Vision‑Language Models **Role Summary** Conduct cutting‑edge research on vision‑language and large‑language models, optimize prototypes, and publish findings at top conferences. Collaborate with a multidisciplinary team to move research from theory to real‑world product demos. **Expectations** - Work 12‑16 weeks during summer term. - Deliver research outcomes, prototype code, and peer‑reviewed publications. - Engage in presentations for both technical and non‑technical audiences. **Key Responsibilities** - Design and implement experiments on VLM/LLM architectures, including fine‑tuning and prompt engineering. - Prototype and test new models in PyTorch/TensorFlow pipelines. - Translate research insights into functional demos or prototypes for Smart TV services. - Draft technical papers and submit to leading conferences (e.g., CVPR, ICCV, ACL, NeurIPS). - File patentable ideas and maintain documentation of research progress. **Required Skills** - Current enrollment in MS or PhD program in Computer Science, ML, or related field. - Strong publication record in top‑tier ML/CV conferences or journals. - Proficiency with deep‑learning frameworks (PyTorch, TensorFlow, Keras). - Experience with VLM or LLM research, including fine‑tuning, prompting, and evaluation. - Solid grasp of ML fundamentals (supervised, unsupervised, representation learning). - Self‑directed, adaptable, goal‑oriented with a sense of ownership. - Excellent written and verbal communication; ability to present complex ideas succinctly. **Required Education & Certifications** - Enrolled in a Master’s or PhD program (preferred) in Computer Science, Machine Learning, or a closely related discipline. No specific certifications required.

Irvine, United states

On site

Fresher

02-12-2025

Company Name

Samsung Research America (SRA)

Job Title

2026 Intern, Machine Learning Engineer (Summer)

Job Description

**Job Title** 2026 Intern, Machine Learning Engineer (Summer) **Role Summary** An internship focused on designing, building, and optimizing machine learning models for recommendation systems and health applications. The role involves end‑to‑end model development – from data preprocessing to deployment in a cloud environment – and collaboration with cross‑functional teams to translate business needs into technical solutions. **Expectations** * Complete model prototypes with measurable accuracy improvements. * Mentor junior peers and actively contribute to team discussions. * Deliver code and documentation that adheres to best practices and security guidelines. * Meet defined project milestones and present findings to stakeholders. **Key Responsibilities** * Design, train, and evaluate recommendation models (e.g., NCF, RNN, CNN). * Implement supervised, unsupervised, reinforcement, and deep‑learning algorithms for health use cases. * Collect, clean, and preprocess large datasets; engineer features for model input. * Debug, tune, and optimize models for performance and scalability on cloud platforms (AWS, Azure, GCP). * Collaborate with software engineers to integrate models into production pipelines and validate accuracy. * Research and propose novel ML techniques to address complex healthcare challenges. * Participate in multidisciplinary team meetings and document technical decisions. **Required Skills** * Proficiency in Python or R (Java optional). * Experience with TensorFlow, PyTorch, or scikit‑learn. * Strong foundation in recommendation system algorithms and deep learning architectures. * Competence in data tools such as Pandas, NumPy, and SQL. * Familiarity with cloud services (AWS, Azure, GCP) for model deployment. * Excellent problem‑solving, communication, and teamwork abilities. **Required Education & Certifications** * Master’s or Ph.D. (near completion) in Computer Science, Data Science, Machine Learning, or related field. * Relevant certifications in cloud platforms or ML (e.g., AWS Certified Machine Learning – Specialty, TensorFlow Developer Certificate) are advantageous but not mandatory.

Mountain view, United states

Hybrid

Fresher

17-12-2025

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

Company Name

Samsung Research America (SRA)

Job Title

2026 Intern, Research Engineer, Mobile Platform and Solutions (Spring/Summer)

Job Description

**Job Title:** Research Engineer Intern (2026 Spring/Summer, Mobile Platform & Solutions) **Role Summary:** Develop AI/ML-based security solutions for Samsung’s B2B products, focusing on prototype development, algorithm design, and integration of research into production systems. **Expectations:** - Candidate is a Ph.D. or M.S. student in Computer Science, Electrical & Computer Engineering, or related fields. - Demonstrated expertise in AI/ML frameworks and threat detection. **Key Responsibilities:** - Design and implement AI/ML solutions for Security & Intelligence services. - Create prototypes and proof-of-concepts for novel cybersecurity strategies. - Adapt ML algorithms from research papers or technical discussions to production systems. - Conduct experiments, evaluate performance, and optimize models for deployment. - Collaborate with engineering teams, present solutions, and ensure alignment with product requirements. - Deploy ML models on Android OS platforms using frameworks like ExecuTorch or ONNX. **Required Skills:** - Proficiency in PyTorch or TensorFlow. - Strong experience with threat detection, deep graph learning, or reinforcement learning. - Hands-on coding in Python and optimization of ML models for production. - Familiarity with Android OS, data structures, Linux, and algorithm design. - Excellent communication and collaboration skills for cross-functional teams. **Required Education & Certifications:** - Currently enrolled in or accepted into a Ph.D. or M.S. program in Computer Science, Engineering, or equivalent technical field. - First-author or co-author publications in AI/ML conferences (e.g., NeurIPS, ICML) preferred, not required.

Mountain view, United states

On site

Fresher

31-12-2025