Research Engineer, Foundational Research
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About The Position
At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our team develops the next generation of theoretically-founded methods for LLMs and generative AI. We are hiring a research/software engineer. We work on large-scale sequence modeling (e.g. language modeling and LLMs) to improve the quality and efficiency of current state-of-the-art techniques. We are looking for an engineer who can collaborate with researchers to develop and run experiments, helping to bring innovative ideas to reality. For this role a low-level understanding of common XLA primitives and how jax code runs on TPUs in practice is highly beneficial. The ideal candidate is willing to roll up sleeves to work across the LLM stack (pretraining, finetuning, serving) to deliver strong results.
