Senior AI Research Scientist - Natural Language Processing

Jobs / Senior AI Research Scientist
- Natural Language Processing

Full-time

Our client, a cutting-edge technology firm at the forefront of artificial intelligence, is looking for a brilliant Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their team in Washington, D.C., US. This role demands a passion for pushing the boundaries of AI, with a focus on developing sophisticated NLP models and algorithms. You will be part of a collaborative research environment, contributing to groundbreaking projects that have real-world impact.

• Conduct advanced research in Natural Language Processing, including but not limited to: sentiment analysis, topic modeling, machine translation, text generation, and question answering.
• Design, develop, and implement novel NLP algorithms and machine learning models.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay current with the latest advancements in AI, machine learning, and NLP through academic publications and industry conferences.
• Publish research findings in top-tier academic journals and present at international conferences.
• Develop and mentor junior researchers and engineers in NLP and machine learning techniques.
• Design and execute experiments to evaluate the performance and effectiveness of NLP models.
• Contribute to the intellectual property portfolio through patent applications.
• Analyze large datasets to extract insights and inform model development.
• Foster a culture of scientific rigor and innovation within the research group.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
• Minimum of 5 years of hands-on research experience in NLP and machine learning.
• Strong publication record in top-tier NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Expertise in various NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Experience with large language models (LLMs) and their applications.
• Solid understanding of statistical methods and experimental design.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative research environment.
• Proven ability to translate research ideas into practical applications.

This hybrid position offers a unique opportunity to engage in impactful research while benefiting from a structured work environment in Washington, D.C., US.

Our client values diversity and is an equal opportunity employer.