Lead Machine Learning Engineer

Crossing Minds is an artificial intelligence company that is creating the world’s leading algorithms to help better understand and predict consumer’s behavior. Founded in 2016, by AI researchers Alexandre Robicquet, Dr. Emile Contal and Google X founder Dr. Sebastian Thrun, the company’s mission is to allow every consumer facing businesses to deploy the best recommendation engines in a few clicks.

What you’ll be doing

  • Bring a high level of technical expertise, guidance, and strategic decision making to key areas of Crossing Minds including machine learning and its orchestration, data pipelines, internal tools
  • Lead our Machine Learning and Data Engineering team and manage, coach, and support our engineers
  • Contribute to our solutions and products, build new features, maintain and scale our current infrastructure
  • Rapidly scale the machine learning and data engineering teams by hiring and retaining exceptional talent and designing organizations, systems, and tools to help us scale effectively
  • Establish a world class machine learning and data engineering culture
  • Stay up to date with the state of the art of machine learning research

What you should have

  • You want to join a small team of hard-workers, to build an excellent product that’ll help everyone you know
  • You have extensive experience in deploying machine learning models in production
  • You have strong expertise of Machine Learning fundamentals: modelling, optimization, feature engineering, evaluation
  • You have strong expertise of Computer Science fundamentals: databases, data structures, algorithms, networking
  • You have a specific interest in recommendation engines, deep learning and scaling web services
  • You have at least one year with a startup experience
  • You have leadership experience

Apply Now

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22 Rausch Street, Unit B
San Francisco, CA 94103