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 Intern, Speech Research (Summer/Fall)

Job Description

Job title: 2026 Intern, Speech Research (Summer/Fall) Role Summary: Summer/fall internship supporting Samsung Research America's voice technology projects. Interns develop and research advanced speech solutions—including Automatic Speech Recognition (ASR), acoustic and language modeling, wake‑word detection, and speech enhancement—using large‑language‑model techniques and model compression. Android application development and model personalization are key focus areas. Expectations: - Conduct research and deliver prototypes in ASR, acoustic/LID modeling, wake‑word detection, and LLM‑based speech applications. - Apply model compression techniques to deploy efficient on‑device solutions. - Develop and test Android-based voice applications and integrations. - Collaborate with cross‑functional research and engineering teams, documenting findings and presenting progress. Key Responsibilities: 1. Design and implement ASR experiments with acoustic and language modeling pipelines. 2. Build and optimize LLM‑based speech applications and perform model compression. 3. Develop wake‑word detection models, including feature extraction, training, and personalization routines. 4. Create Android prototypes for voice and speech‑enhancement features. 5. Research and evaluate digital‑signal‑processing techniques for speech enhancement and other voice tasks. 6. Document methodologies, experiment results, and code repositories. Required Skills: - Strong background in Deep/Machine Learning, large‑language‑model (LLM) techniques, and Digital Signal Processing. - Proficiency in C, C++, Java/Android, and Python. - Experience with TensorFlow and PyTorch frameworks. - Familiarity with voice‑related research areas: ASR, acoustic modeling, speaker/wake‑word detection, language recognition, and speech enhancement. Required Education & Certifications: - Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, or a related field.

Mountain view, United states

On site

Fresher

12-03-2026