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Research Engineer, Pretraining, DeepMind

Google DeepMind

Manhattan, NY โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. They are seeking a Research Engineer to work on inference-optimized model design and contribute to the development of large transformer-based models.
Responsibilities:
โ€ข Focus on inference-optimized model design for Gemini pretraining.
โ€ข Understand common Accelerated Linear Algebra (XLA) primitives and how JAX code runs on TPUs in practice.
โ€ข Work across the Large Language Model (LLM) preparation stack (e.g., pretraining, fine tuning, serving) to deliver strong models.
Qualifications:
Required:
โ€ข Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning, a related field, or equivalent practical experience.
โ€ข 5 years of experience with inference-optimized model design.
โ€ข Experience working with product teams.
Preferred:
โ€ข Experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models.
โ€ข Experience with fine-tuning large models (e.g., supervised, RLHF).
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.