Researcher in Natural Language Intelligence

Qualifications

• PhD in C.S., EE or related fields or equivalent combination of education, training, and experience

• 10+ years of research experience in the fields of AI/NLP/ML

• Experience conducting research and shipping user-facing products

• Strong background in NLP, LLMs, and deep learning techniques

• Hands-on experience with LLMs such as GPT, BERT, T5, or similar

• Experience in knowledge graph construction, indexing, and Retrieval Augmented Generation (RAG) models

• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other ML frameworks

Responsibilities

• Develop innovative personalization features and on-device solutions using Large Language Models (LLMs)

• Contribute to the development of novel AI-driven technologies that enhance user experiences

• Collaborate with cross-functional teams to integrate AI models into end-user applications

• Optimize performance for real-time, on-device use cases

• Improve device efficiency, privacy, and security while utilizing state-of-the-art AI techniques

Full Description

Job Opportunity: Join our team at Samsung AI Research Center in Mountain View, California and work on cutting-edge projects that push the boundaries of artificial intelligence and natural language processing.

Responsibilities:

• Develop innovative personalization features and on-device solutions using Large Language Models (LLMs).

• Contribute to the development of novel AI-driven technologies that enhance user experiences.

• Collaborate with cross-functional teams to integrate AI models into end-user applications.

• Optimize performance for real-time, on-device use cases.

• Improve device efficiency, privacy, and security while utilizing state-of-the-art AI techniques.

Requirements:

• PhD in C.

S., EE or related fields or equivalent combination of education, training, and experience.

• 10+ years of research experience in the fields of AI/NLP/ML.

• Experience conducting research and shipping user-facing products.

• Strong background in NLP, LLMs, and deep learning techniques.

• Hands-on experience with LLMs such as GPT, BERT, T5, or similar.

• Experience in knowledge graph construction, indexing, and Retrieval Augmented Generation (RAG) models.

• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other ML frameworks.