Research Scientist, Factuality

Requirements:

• 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.

Nice to haves:

• 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).

What you'll be doing:

• 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.

Perks and benefits:

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