Improve complex frontier Gemini capabilities, such as multi-turn, factuality and tool-use.
Requirements
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with LLM training and generative models.
- Experience using Python libraries and frameworks.
- 5 years of experience with data structures/algorithms.
- Experience developing accessible technologies.
- Expertise in machine learning and reinforcement learning.
Responsibilities
- Scope and drive research efforts to improve complex frontier Gemini capabilities, such as multi-turn, factuality and tool-use.
- Review the latest literature to guide research and experimental directions.
- Curate and generate data to evaluate and improve Gemini capabilities.
- Design and implement both human and automated evaluation strategies.
- Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as multi-turn and factuality.
- Collaborate with partners and product functions to deliver new model capabilities to production.
- research new approaches for analyzing, evaluating and training LLMs to enhance their multi-turn capabilities.
Other
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience in a technical leadership role.
- Publications in machine learning conferences such as NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM.
- display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- adaptability is key to meeting tight deadlines for critical launches.
