Research Engineer, Gemini Data

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

This role is for a motivated Research Engineer to play a key role innovating in the field of Gemini pre-training data team. As a key individual contributor, you will apply deep expertise in large-scale machine learning, statistical rigor, and scalable engineering towards our goal of generating and curating high-quality tokens for Gemini core model training.

Key Responsibilities

Research and develop methods to design ablation recipes for landing data changes in Gemini Research and develop methods to create diversified high-quality pretraining data, and land it through rigorous ablations and evaluations. Stay up-to-date with the latest advancements in LLM research.

About You

In order to set you up for success as a Research Engineer at Google DeepMind,  we look for the following skills and experience: Master’s or PhD in Computer Science or a related field. Experience with large language models (LLMs) and large-scale data processing Strong programming skills in Python or a similar language Passion for research and a desire to make a significant impact in LLM pretraining data area.   The US base salary range for this full-time position is between $166,000 and $244,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Monday 23rd February 2026  Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.

For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy 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.   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.      

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...