Research Scientist, Language, DeepMind

Requirements:

• PhD in Natural Language Processing, Machine Learning, a related field, or equivalent practical experience.
• Experience with Python and neural network training.
• One or more scientific publication submissions for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Nice to haves:

• Experience with Large Language Model (LLM) pretraining, post-training, and inference using multilingual data.
• Experience in innovating on any aspect of LLM design and development to enhance multilingual, cross-lingual, or multicultural capabilities.
• Experience collecting human data for model evaluation.
• Experience in the implications of new developments in the field of LLMs and LLM-powered agents for a global user base, and a desire to build pioneering language technology to inform, delight, and empower all users.
• Ability to design and implement novel evaluations and perform statistical analysis.

What you'll be doing:

• Solve new problems/improve performance of existing models (e.g., improving or evaluating the capabilities of models, or measuring outcomes).
• Develop technical solutions to test these ideas and assess performance.
• Communicate research findings and technical ideas verbally and in writing.
• Contribute to team collaborations to meet research goals.

Perks and benefits:

• Unique culture and work environment supporting long-term ambitious research.
• Opportunity to work on groundbreaking research in language technology.
• Collaboration with leading researchers and interdisciplinary teams.
• Global opportunities for learning and career advancement.