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The Gemini Multilinguality team is responsible for improving the quality and language coverage of Gemini, and ensuring its responses are locally and culturally relevant. There are several ongoing workstreams:

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Gemini Multilinguality team is seeking a Research Scientist to help us improve the quality and language coverage of Gemini. The successful candidate will have a strong track record of research in natural language processing, machine learning, and/or artificial intelligence, with a particular focus on multilingual modeling. Gemini is an ongoing effort from Google DeepMind to build state-of-the-art large language models trained on a massive multilingual and multimodal dataset. It can be used for a variety of tasks, including machine translation, text summarization, question answering, and dialogue generation. 

• Conduct research on multilingual language models, with a focus on improving quality, language coverage, safety, and factuality.
• Develop new methods for scalable high-quality language expansion, data quality validation, and evaluation.
• Evaluate the performance of multilingual language models on a variety of tasks. 
• Work with the Cloud, Search, and Workspace teams to integrate your research into models adapted for these surfaces. 
• Collaborate closely with other researchers on the Gemini Multilinguality and adjacent teams. 

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, or Machine Learning related field.
• Strong track record of research in multilingual language modeling. 
• Experience with large-scale ML models and datasets. 

In addition, the following would be an advantage: 

• Proficient in Python, TensorFlow, or PyTorch. 
• Excellent communication and presentation skills.
• A real passion for AI!

The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.