Research Scientist, Autonomous Assistants

Sep 13, 2023

London, UK

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.


We are looking for Research Scientists to join the Autonomous Assistants team, and produce research in the development of next-generation technologies to power increasingly autonomous agents which strive to assist, support, and supplement humans in their daily personal and professional lives.

About Us

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

Within the team, Research Scientists are encouraged to lead/support an application-grounded research agenda aimed at producing practically applicable technological advances in the ability of increasingly autonomous agents to assist and support humans.

The expectation is that while novel research can and will be conducted in this setting, there will be a strong focus on pragmatic prioritisation of methods and tools offering practical benefits in the short term, over the following of longer-horizon research agendas. Central to this process is the idea that rapid iteration over and refinement of solutions catering to real-world use-cases provides a strong basis for better understanding the research boundary in a fast paced field.

Key responsibilities:

  • Spearhead the ideation into, and development of, new use-cases and desired capabilities of assistant-like agents of any form, advised by the current state of research.
  • Partner with research engineers to develop ambitious prototypes pertaining to desired or anticipated assistant agent use-cases, and design and implement evaluation protocols around these prototypes.
  • Identify, motivated by empirical study of existing methods' failures or limitations on use-case-based evaluations, the roadblocks and research challenges, and develop novel technical or methodological solutions to overcome these.
  • Identify sources of data, design and implement data collection processes (supported by research engineering partners), and conduct human annotation and evaluation campaigns for the production end evaluation of strong baselines for each use-case.
  • Help identify, within GDM's broad portfolio of research projects, methods which could be adapted or tried against our evaluations, as well as teams and individuals with which the team could partner to overcome challenges whilst providing grounding and evaluation for that collaborator's research agenda.

About you

In order to set you up for success as a Research Scientist,  we look for the following skills and experience:

  • PhD in a technical field or equivalent practical experience.
  • Experience in a research domain connected to the production of increasingly autonomous assistants, (e.g. tool-use in LLMs, RL/IL, applications in NLP, process discovery/automation/recommendation).
  • A desire to focus on forming tight application-driven modelling, data collection, and evaluation flywheels to ground and empower research.

In addition, the following would be an advantage: 

  • Experience with one or more of: fine-tuning LLMs, evaluation design, pragmatics, running human data collection/annotation campaigns.
  • Experience with open-ended learning, RL, and frontier methods for training LLMs (RLHF, RLAIF, preference optimization, constitutional AI, etc).
  • A curiosity about, or experience with  research topics surrounding personalization, memory, reasoning, self-improvement, and safety!


Competitive salary applies.

Applications will close on Tuesday 26th September at 6pm BST and will be reviewed on a rolling basis.

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