Data Research Engineer, Data Team
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We’re looking for a number of Data Research Engineers to join the newly formed Data Team at DeepMind. We are open to candidates at a variety of seniority levels, and it is a great opportunity to join in the very early days of the team!
There is also the option to have this position scoped at 4 days a week (32 hours) for candidates who wish to work a reduced schedule. If you would like to select this option, you can select the part-time option in the application questions.
Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning specialists and more, working together to advance the state of the art in Artificial Intelligence. Our mission is to solve intelligence to advance science and benefit humanity.
Data is playing an increasingly crucial role in research innovation, with improvements in data quality largely responsible for some of the most significant research breakthroughs in recent years. The Data Team is a newly formed team responsible for the sourcing, acquisition, generation, processing, and management of data to efficiently fuel DeepMind’s research. Engineers on the team will embed in research projects, working in direct collaboration with world-leading AI researchers, as well as other partner teams (e.g, program management, partnerships, safety, ethics, governance, and compliance), to ensure our AI models are powered by data that is fit for purpose.
We’re looking for a number of Data Research Engineers to join our Data team. As a member of this team you will help guide and execute the strategy for data collection and innovation of new data generation methods, working closely with research efforts to produce datasets targeted to current needs.
Data is central to the advancement of AI research, and as a Data Research Engineer you will play a key role in improving the range and quality of data used in research at DeepMind. You will be a core contributor on pioneering research projects, and your day-to-day work will involve collaborating closely with other researchers to ensure we optimally harness the power of data.
The responsibilities you could have include:
In this role, you could be ingesting and curating large-scale datasets, or interfacing and experimenting with human-in-the-loop data, so we are looking for people who are interested in either of these problem spaces. If you are excited by one (or both) of these prospects, then do apply!
In addition, the following would be an advantage:
If you don’t think you embody all the above criteria, please still seriously consider applying. This role (and therefore the requirements) is broad, combining aspects of data engineering, data science, and research, so we are open to candidates from all these backgrounds (and more). We’d be excited to discuss how you see yourself contributing to the role, and in particular the opportunities to learn and grow on the job.