Principal Machine Learning Engineer for Gemini at Google

vor 2 Wochen


Zürich, Zürich, Schweiz Google Vollzeit

Overview

Our team at Google focuses on enhancing the accuracy and factuality of responses generated by Gemini, both standalone and in Retrieval-Augmented-Generation (RAG) settings. We continuously iterate on the quality of RAG backends, aiming to build state-of-the-art language models through various training and optimization methods.

Key Responsibilities

  • Develop and implement strategies for model training, such as Supervised Fine Tuning (SFT), to enhance language model quality.
  • Collaborate on improving Retrieval-Augmented-Generation (RAG) approaches to achieve more accurate responses.
  • Work on applying state-of-the-art machine learning techniques to LLM-based products, advancing the capabilities of Gemini.

Requirements

  • Bachelor's degree or equivalent practical experience in software development.
  • 5+ years of experience in software development, with a strong background in data structures and algorithms.
  • 3+ years of experience in testing, maintaining, or launching software products, with a focus on software design and architecture.
  • 3+ years of experience with state-of-the-art Generative AI techniques or related concepts.
  • 3+ years of experience with ML infrastructure, including model deployment, evaluation, and optimization.
  • PhD in Machine Learning or a related field (desired).


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