Lead AI Research Scientist - NLP

About the Role

Our client is seeking an innovative and experienced Lead AI Research Scientist with a specialization in Natural Language Processing (NLP) to join their dynamic, remote-first research team. You will lead cutting-edge research initiatives, exploring new frontiers in NLP to develop next-generation language understanding and generation technologies. This role offers the opportunity to publish research, mentor junior scientists, and contribute significantly to the company's AI strategy. The ideal candidate possesses a strong publication record, a deep theoretical understanding of NLP, and a passion for driving innovation from a distance, collaborating effectively with a global team.

Key Responsibilities

• Conduct groundbreaking research in areas such as large language models, sentiment analysis, machine translation, and information extraction.
• Lead the design and development of novel NLP algorithms and architectures.
• Mentor and guide a team of AI research scientists, fostering a collaborative and productive research environment.
• Publish research findings in top-tier academic conferences and journals.
• Translate research outcomes into practical applications and prototypes for product teams.
• Stay at the forefront of NLP advancements, identifying new research opportunities and methodologies.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
• 7+ years of research experience in NLP, with a proven track record of impactful publications.
• Expertise in deep learning techniques for NLP (e.g., Transformers, RNNs, LSTMs) and associated frameworks (e.g., PyTorch, TensorFlow).
• Strong programming skills in Python and experience with NLP libraries (e.g., Hugging Face, spaCy, NLTK).
• Excellent leadership, communication, and problem-solving skills, suitable for a remote setting.

Benefits

• Highly competitive salary and equity options.
• Fully remote work arrangement with excellent work-life balance.
• Comprehensive global health coverage and wellness programs.
• Generous budget for professional development, conferences, and research resources.
• The chance to work on challenging problems with a world-class research team.