NLP Research Scientist: Large Language Models

Mohamed bin Zayed University of Artificial Intelligence; Sunnyvale (CA); On-site; USD 150,000 - 450,000; Full time

Benefits offered by this job

Salary range

Discretionary bonus

Benefits package

Paid time off

Job summary

MBZUAI in Sunnyvale is seeking a Research Scientist specializing in NLP and large language models. You will conduct research, implement NLP solutions, and advance state‑of‑the‑art methods with Python and deep learning, contributing to scalable AI systems.

You will collaborate with researchers and engineers, publish results, and present at conferences, helping MBZUAI lead in foundation model research while shaping the next generation of AI talent.

Qualifications

• Master’s in Computer Science, related technical field, or equivalent practical experience.
• PhD or equivalent research experience in Natural Language Processing preferred.

Responsibilities

• Lead research for improving efficiency of Large Language Models and related capabilities.
• Design and implement NLP algorithms for training and prediction, leveraging ML infrastructure.
• Integrate LLMs with other models such as computer vision models.
• Identify gaps in technology and engage teams to expand efficient LLM technology.
• Collaborate with peers and stakeholders through reviews to ensure best practices.
• Publish results in design documents, technical reports, and papers.

Skills

Gen AI techniques

Strong problem solving

Communication and collaboration

Ambiguity navigation

Education

Master’s in Computer Science or related field

PhD in NLP (preferred)

Tools

Python

PyTorch

C++

Job description

MBZUAI in Sunnyvale is seeking a Research Scientist specializing in NLP and large language models. You will conduct research, implement NLP solutions, and advance state‑of‑the‑art methods with Python and deep learning, contributing to scalable AI systems.

You will collaborate with researchers and engineers, publish results, and present at conferences, helping MBZUAI lead in foundation model research while shaping the next generation of AI talent.