Research Engineer - Gemini

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance the state of the art in AI technology. As a Research Engineer on the Gemini team, you'll be part of a diverse group of scientists, engineers, and machine learning experts working on one of the most advanced AI systems in the world.

The role focuses on developing and maintaining large-scale data pipelines crucial for Gemini's pre-training data, which directly impacts the model's capabilities and quality. You'll conduct empirical research, validate novel datasets, and work on innovative data processing techniques. This position requires a unique blend of engineering expertise and research acumen, particularly in large-scale data processing and machine learning experimentation.

You'll collaborate with various teams within the Gemini project, including Model, Infrastructure, and Post-Training teams, contributing to the development of scaling laws and understanding the interaction between large-scale training and data. The ideal candidate will have a strong background in distributed systems, empirical experimentation, and deep learning.

Google DeepMind values diversity and creates an inclusive environment where different experiences, backgrounds, and perspectives are celebrated. The company is committed to equal employment opportunity and uses its technologies for widespread public benefit and scientific discovery. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain top priorities.

The position offers the chance to work with leading researchers, contribute to state-of-the-art generative models, and translate research into products that impact both Google and external applications. If you're passionate about AI, have exceptional engineering skills, and want to be part of shaping the future of artificial intelligence, this role provides an excellent opportunity to make a significant impact in the field.