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.
The team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging Google DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services.
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.
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.
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.
Some of our current projects are focusing on multimodal human understanding and generation, including privacy preserving generation and misinformation prevention. Having relevant experience is highly beneficial. The responsibility includes model development (data, modeling and evaluation), research and prototyping.
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 in Computer Science, or Machine Learning related field.Experience with people understanding/generation.Experience working with VLMs.Proven experience of ML frameworks such as TensorFlow/JAX.
In addition, the following would be an advantage:
The US base salary range for this full-time position is between $182,000 - $192,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
