DeepMind is seeking a Research Scientist for Strategic Initiatives to accelerate trustworthy ML on a mission, applying ML to GenAI training and inference with emphasis on data influence and trustworthiness, onsite in London. You will collaborate with domain experts and engineers, develop novel ML approaches, and deploy research with product teams while reporting progress. The ideal candidate holds a PhD with ML advances and impact, plus GenAI experience; experience with data influence, embeddings and auto raters is valuable and deployment experience a plus. In your application, highlight relevant projects, publications, code, and measurable impact, and explain how you align with the mission and your passion for AI.
Accelerate research in strategic projects that enable trustworthy machine learning with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems. A public example of recent work is SynthID, and we are actively pursuing exciting projects in the space of data trustworthiness.
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
As a Research Scientist in Strategic Initiatives, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our Strategic Initiatives programs. Domains may include, but are not limited to, multimedia GenAI pre-training, post-training and inference with an emphasis on data influence and trustworthiness.
Key responsibilities:
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
In assessing technical backgrounds, we will take a holistic view of the mix of scientific, machine learning, and computational experience. We do not expect you to be an expert in all fields simultaneously.
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.