Research Scientist, Web Data

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.   Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. 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   The Role Your job will be to own and lead improvements of meaningful chunks of the web data pipeline. Examples of such chunks are scraping (i.e., transforming raw HTML into clean text data to be used during training, potentially including relevant image data), data filtering (removing/down-weighting low-quality content) or adding new data sources (such as historical web crawl data).

Key Responsibilities

Investigating current results to identify areas for improvement (e.g., based on user feedback or weak eval performance). Developing measurements of weakness, either as model eval or data pipeline statistics, to help drive progress. Setting out a medium-term agenda to improve the data pipeline, with feedback from peers and key stakeholders, and convincing others to join your efforts.

Working with partner teams in GDM (and wider Google) to leverage existing solutions effectively and communicate necessary infrastructure improvements. Day-to-day execution by coding, running experiments and reviewing contributions.

About You

In order to set you up for success as a Research Scientist at Google DeepMind,  we look for the following skills and experience: 3 years of experience working as a self-directed engineer or researcher, e.g., as senior software developer or graduate student. Developing large-scale data (>=100M examples) processing pipelines in Python and/or C++.

Evaluating and investigating (pretrained) LLM performance. In addition, the following would be an advantage:  Filtering data based on heuristic and/or learned signals. Working with web data for LLM training, such as cleaning data, removing duplicates, identifying most valuable examples, etc. Developing advanced LLM metrics (e.g., execution-based, using auto-raters, etc.)  

Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and...