Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Mountain View, CA, USA; London, UK.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Go).
• 
  3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Computer Science or a related technical field.
• Experience in machine learning methods including foundation models and Large Language Models (LLMs).
• Experience in Flume C++, including familiarity with some of the low level details of Flume.
• Knowledge of Google Infrastructure, including Borg and CNS.
• Publications in top machine learning conferences such as NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM.

• Improve the scalability and reliability of the pipelines on the critical path of Gemini pre-training.
• Develop new techniques to identify near duplicate data.
• Research new methods of data curation.
• Serve as Gemini Data Captain or captain new large scale Gemini training runs.
  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form