Senior Research Engineer, Applied
The Senior Research Engineer, Applied will leverage DeepMind's machine learning expertise to develop advanced algorithms for Alphabet products and services. This role involves rapid-prototyping, designing experiments, and applying promising research to real-world problems, with a focus on areas like Natural Language Understanding, Reinforcement Learning, and Multitask Learning. The engineer will work in a collaborative environment, translating research into impactful production solutions.
The Applied team at DeepMind works closely with various Google/Alphabet teams, utilizing DeepMind's expertise to deploy advanced machine learning algorithms to enhance Alphabet products and services. This team is driven, collaborative, and diverse, with members based in London and Mountain View. Current and past collaborations include teams in Cloud, Android, Assistant, Youtube, and Maps. The team also collaborates closely with DeepMind's and Google's Research teams on several projects. Each project typically involves a team of engineers working with product partners, researchers, product managers, and program managers.
Current projects, such as MuZero for Video Compression, focus on areas including Natural Language Generation/Understanding, Multimodal Understanding, Reinforcement Learning, Causal/Counterfactual modelling, Time Series Forecasting, Meta Learning, and Multitask Learning. Experience in any of these areas is highly beneficial.
We look for individuals who thrive in ambiguity and are willing to contribute to moving prototypes forward. The role often requires inventing novel solutions and adapting course, so flexibility and adaptability are essential.
Posted June 3, 2026