Research Engineer, AlphaEarth, Science

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:

BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or 3+ years similar experience working in industry.

Experience with large scale data pipeline and processing

Proven knowledge and experience of Python or C++

Knowledge of machine learning and statistics

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.

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.