At Galileo, we are building the next generation ML data stack to empower the 1000s of enterprise ML teams to inspect their data, find errors and fix them all within a low latency, highly scalable platform laden with tools based on the latest data-centric ML research.

Galileo was founded by product and engineering leaders from Uber Michelangelo, Google AI, and Google Speech and is well funded by AI execs from Apple, leading academics from Stanford, the CEO of Kaggle among others. Our advisors include Pete Warden (co-creator of Tensor Flow), Amy Chang (Disney, P&G board member) among other industry veterans. We're building for the long term in a fast-growing market and are growing fast!


About this opportunity
As an early engineer at Galileo, you will work alongside leading industry and academic experts to play a foundational role in designing, building, and scaling our products and team.

We’re looking for an exceptional Senior Machine Learning Engineer, interested in solving complex problems at the intersection of Data and ML.

Ideally you have:

  • A startup mindset, biasing towards thoughtful action with minimal direction.
  • 3+ years of experience building ML products
  • Experience building, testing, and experimenting with ML models using unstructured data.
  • Great curiosity about the latest ML research.
  • Excellent communication skills, especially when it comes to sharing results of your research and experiments with your team in order to inform product development.
  • Hands-on experience with popular ML frameworks (like PyTorch, TensorFlow, Keras).
  • Extensive experience with git and GitHub – it’s almost second nature for you.
  • Bonus: Experience working with ML related services in AWS, Google Cloud, or Microsoft Azure.

We are based out of the San Francisco Bay Area and are open to building a distributed team too.

Come join us!

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