Snapshot
The ACE team focuses on enabling Gemini for advanced automation and powering innovative AI experiences across all modalities within Ads & Commerce. We tackle unique research problems motivated by real-world needs in these domains particularly where foundational models require further refinement. Specifically we leverage Geminis cutting-edge multimodal understanding and reasoning capabilities to automate complex tasks such as feature discovery in recommendation systems and creative asset generation thereby solving crucial research challenges that close the gap in our latest foundational models.
We are a driven collaborative diverse team based in Mountain View that is part of the GenAI Unit. We collaborate closely with teams across Google DeepMind and Google Research working closely on projects with our product partners and bringing together engineering teams with researchers product managers and program managers
About Us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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
Youll 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. Youll be part of a small project team led by Research Engineers with close mentorship from Gen AI Unit leadership. The role offers the potential for partnership with Research Scientists and significant short-term impact.
Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:
About You
We are seeking Research Engineers who can drive new research ideas from conception experimentation to productionisation in a rapidly shifting landscape. We regularly need to invent novel solutions to problems and often change course if our ideas dont work out so flexibility and adaptability to work on any project independently is a must.
Minimum Qualifications:
Preferred Qualifications:
The US base salary range for this full-time position is between $166000 - $244000 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.
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.