Research Scientist, Gemini i18n

Our team works on developing state-of-the-art methods for Gemini, with a particular focus on multilinguality, cross lingual transfer and speech/machine translation. 

At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year!

Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.

Drawing on expertise from a variety of disciplines including deep learning, natural language processing, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research.

Key responsibilities:

• Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multilingual generative AI, with a particular emphasis on cross lingual transfer as well as text and speech translation.
• Report and present research findings and developments clearly and efficiently internally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or equivalent practical experience.
• Relevant experience in deep learning research and development, particularly in generative AI and related to multilinguality and mixture-of-experts.
• Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.

• Strong interest in multilingual LLMs.
• Demonstrated experience in large-scale training of multilingual and multimodal generative models.
• A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals.
• Experience with large-scale model training and distributed computing environments.
• Experience working effectively in a collaborative research environment (industry or academic lab).
• Experience initiating, leading, or significantly contributing to ambitious research projects.

The US base salary range for this full-time position is between $141,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.