Research Scientist, Languages and Multimodality

As a Research Scientist at Google DeepMind, you will:

Key responsibilities

• Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google
• Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.
• Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services.
• Contribute to the research community: Contribute to the research community by sharing insights and participating in external academic workshops and conferences.

• Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier AI conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• Excellent communication and collaboration skills.  

• Experience with multilingual, multicultural, and/or multimodal learning in LLMs.
• Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.
• Familiarity with large-scale model training and deployment.
• Strong programming skills in Python or similar languages.