Develop cutting-edge models for geospatial understanding and collaborate globally to tackle significant challenges in geospatial intelligence.
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.
Our geospatial AI team behind AlphaEarth works to push the state of the art in geospatial intelligence. We work closely with high impact partners and teams across Google to deliver solutions that transform Google's interface to the real world and tackle some of the biggest challenges and opportunities facing our planet.
We are an agile, collaborative, and specialised team based in London and New York. We build end-to-end systems spanning the machine learning life cycle, typically in close collaboration with each other to execute towards a shared vision. Our team prioritises quality and usability for everyone, with a consistent focus on positive societal outcomes.
You'll be developing the next frontier of models for geospatial understanding. Your work will include the implementation of production ready systems, and experimentation / hypothesis testing to evaluate improvements and new opportunities. You will be part of a tight knit, geographically distributed team with a short, and clear path to impact. Your job responsibilities will shift with the team as phases of the project develop, from prototypes to engineering milestones to production.
Your role will require problem solving and novel research in one of the most challenging data domains. We are highly collaborative, so expect to work frequently with core and extended team members across Mountain View, New York, and London.
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves the project forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility, curiosity, and adaptability is a must.
In order to set you up for success as a Research Engineer at Google DeepMind working on our geospatial AI team, we look for the following skills and experience:
In addition, the following would be an advantage:
Applications close: Friday 20th March at 5pm GMT
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.
DeepMind develops advanced artificial intelligence systems that push the boundaries of what's possible. We cater to a diverse range of scientific communities and industries, focusing on creating AI technologies that can tackle significant global challenges and drive public benefit. Our distinctive approach combines deep learning and reinforcement learning with insights from neuroscience, fostering a culture of innovative research and collaboration.
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