Research Scientist, Empowering Humans Using LLMs

Snapshot

Advance research in empowering humans in the era of LLM. We do this by enabling better control (make the model do what we want to do) and and better leveraging (make the model to teach us something new so we evolve). We consider the two problems as two sides of the same coin. We do ambitious short and long-term research, aiming at both internal impact and external publications. 

About Us

We are a team in Google DeepMind, with a mission to build AI responsibly to benefit humanity. This role is for the GDM Seattle office where many of our team members are located. We are part of Foundational Research with eyes on practical applications as well as impactful publications. Our ultimate mission is to empower people rather than replacing them. Our team consists of PhDs expertise in interpretability, cognitive science, bayesian theory, NLP, and many others. 

The Role

Research scientist role to advance research in understanding large language models by considering controllability as a dual problem. The RS will join the team’s project to push together as a team, rather than starting their independent singleton research. 

Key responsibilities:

• Work as a team
• Conduct research in understanding the model with practicality as a focus.
• Translate research findings into useful internal applications.
• Publish and present findings at internal and external venues to influence the field.

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:

• PhD in machine learning, statistics or related fields 
• Strong publication record
• Strong record in LLMs and foundation models and related engineering skills
• Strong communication skills

In addition, the following would be an advantage: 

• Strong end-to-end system building and prototyping skills

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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.