(#7738227002) 2025 Summer Intern, Research Scientist
Lab Summary: Samsung is the world’s largest consumer electronics company and the leading provider for smart phones and smart TVs. Samsung smart TVs connect homes to the Internet, providing a full range of intelligence capabilities such as speech recognition, gesture recognition, advanced video processing and personalized recommendation.
The VD intelligence lab at Samsung Research America is building a next-generation data platform to support Smart TV products and services. Our research and development include TV analytics, ads targeting, and personalized services.
Position Summary: You will work with a team of research scientists and engineers tackling real-world problems. You will have the opportunity to publish at top-tier conferences in deep learning, computer vision, speech, and language understanding. As a research scientist, you will be involved in very promising team projects with talented people at Samsung. You will benefit a lot by working in a fun and creative environment.
Position Responsibilities:
- Conduct advanced research for machine learning including natural language understanding and computer vision
- Collaborate with colleagues to apply research results to prototypes and real-world applications
- Quickly prototype new ideas/technologies to create proof of concept and demos
- Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
- Summarize research findings in high-quality papers and make submissions to top-tier conferences
Required Skills:
- Currently enrolled in a PhD (preferred) program in Computer Science or related discipline (with focus on Machine Learning) or equivalent combination of education, training, and experience
- A strong publication record in top-tier machine learning conferences and journals
- Strong understanding of basic ML foundational concepts and methods
- Experience with Vision Language Model (VLM) or Large Language Model (LLM) research and development (including fine tuning and prompt engineering).
- Experience with multi-modal agent, embodied AI research
- Experience with knowledge distillation, model compression, quantization and optimization
- Experience with ML frameworks such as: PyTorch, Tensorflow, Keras, etc
- Experience with deep learning and neural networks
- Self-directed, flexible, goal oriented and strong sense of ownership
- Excellent verbal and written communications skills; experience presenting complex technical information, succinctly, to technical and non-technical audiences