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.
About UsOur 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.
The RoleYou'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.
About YouWe 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
- Knowledge of algorithm design
- Background in ecology, earth science, biogeochemistry, earth observation, or related fields is highly desirable
- Proven experience with ML frameworks (e.g. JAX)
- Proven experience working on deployed projects from proof-of-concept through to implementation
- Thrives in ambiguity and a fast-paced, startup-like culture
- Great communication skills and strong interpersonal skills
In addition, the following would be an advantage:
- Experience in applying experimental ideas to applied problems
- Cross functional collaboration experience
- Prior experience working on deploying AI-powered products
- A passion for AI
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.
Top Skills
What We Do
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 long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
