Research Scientist, Web Data

At Google Deep Mind, 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.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

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).

• 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.

In order to set you up for success as a Research Scientist at Google Deep Mind, 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.)

Google Deep Mind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self‑identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process.

Your information is used in an aggregated form for these limited purposes and will not form part of your application.