Research Engineer, People Identity
Mountain View, CA
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.
Snapshot
The mission of Frontier AI unit in GDM includes developing transformational AI methods, solving grand challenges, and incubating new product directions..
We are a driven, collaborative, diverse team based in Mountain View, Los Angeles, New York and London. We collaborate closely within Google DeepMind, Google Research and product partner teams, such as Pixel, Youtube, Core Verifications and Photos.
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
Some of our current projects are focusing on multimodal human understanding and generation. Develop foundational AI capabilities to measure, preserve, and protect human likeness, balancing utility, privacy, and safety. Having relevant experience is highly beneficial. The responsibility includes model development (data, modeling and evaluation), research and prototyping.
You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.
About you
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
PhD/MS in Computer Science, or Machine Learning related field.Experience in ML modeling for human understanding / generation.Experience working with VLMs.Proven experience of ML frameworks such as TensorFlow/JAX.
In addition, the following would be an advantage:
- Experience in applying experimental ideas to applied problems
- Cross functional collaboration experience (w/ other eng/researchers)
The US base salary range for this full-time position is between $141,000 USD - $202,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: November 7th , 2025
