
Research Scientist, Factuality
- London
- Permanent
- Full-time
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- Experience in Python, JavaScript, R, Java, or C++.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience with LLM training and generative models.
- Experience in software engineering for Machine Learning.
- Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).
- Drive research efforts to improve complex frontier Gemini capabilities, such as factuality.
- Review the latest literature to guide research and experimental directions.
- Curate and generate data to evaluate and improve Gemini capabilities.
- Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
- Collaborate with partners and product functions to deliver new model capabilities to production.