Research Scientist, Multilingual, Multicultural and Multimodal LLM, DeepMind

As the Demo Solutions and Experience Lead, you are the frontline storyteller bringing Google’s most advanced technology to life inside our Experience Centers. You will partner with sales leadership to activate our spaces as strategic growth engines—delivering unforgettable, high-touch demonstrations that inspire C-level executives, build trust, and accelerate agreement momentum across Global Business Organization (GBO).Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $140000 - $204000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google.

• Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.

• 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 by sharing insights and participating in external academic workshops and conferences.

Qualifications Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.

• 2 years of experience in coding.

• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 1 year of experience owning and initiating research agendas.

• Experience with multilingual, multicultural, or multimodal learning in LLMs.

• Experience with deep learning, natural language processing, computer vision, or speech processing.

• Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.

• Familiarity with large-scale model training and deployment.