ML Engineer

Airspace Intelligence’s mission to build the future of air traffic control. While autonomous flight is soon becoming feasible the methods by which aircrafts are routed remain inefficient and prone to human error. In fact, most of the world's airspace is not prepared for the rapid increase in air traffic.
We are looking for makers who love learning, are passionate about collaborating, and desire to build solutions with a real-world impact.

What you’ll do
  • Contribute to whole existing tech stack
  • Design, build and ship ML prediction models
  • Optimize models for scalability and performance
  • Take care of data input pipelines involving processing and cleaning input data

What you’ll need

  • Experience with training models
  • Experience working with large datasets
  • Know things about TensorFlow, softmax, ground truthing, and Keras
  • Fluent in Python
  • Experience in a fast-paced work environment
  • A bias for action - You have an intuition for what matters and get things done

What you’ll get

  • All the great things that happen when a small team of fast-learning engineers get together to tackle a real-world problem.
  • The opportunity to design our architecture bottom up
  • Competitive salary including meaningful equity in an early stage startup
  • Work in a team that is backed by some of the most influential individuals and companies in the AI ecosystem.

Culture & Values

  • Our style is not for everyone. Read more here

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