Data Engineer

Your Role:

Our fast-growing company is seeking a Data Engineer to support our engineering by ensuring high quality of the flight test data used by the teams. Your responsibilities will include the following: 

  • Automation and scaling of everyday data processing tasks: acquisition, storage, preparation for machine learning and evaluation, data preparation for other use cases.
  • Acquisition and storage: ensure data is accessible to users in desired formats; keep track of what data we have and relevant metadata (such as recording parameters, weather conditions etc).
  • Preparation for computer vision and machine learning: automate data selection, evaluation of annotated data; convert annotated data to ML-ready datasets.
  • Ensuring data quality and quality of the training: implement relevant data quality metrics; automate data comparison .

Preferred Qualifications and Experience:

  • Computer science, mathematics, physics or other relevant engineering/science background.
  • Excellent knowledge of at least one scripting programming language; ability to quickly write efficient shell scripts for everyday data-related tasks.  Fluency in Go is a plus. 
  • Experience developing large-scale data processing pipelines and databases that multiple teams/products depend on.
  • Ability to reason about data in quantitative terms.
  • Demonstrated ability to understand what you read, explain what you think and write down what you do.

Experience in aerospace engineering or avionics is not required; we will teach you everything you need to know about the constraints of safety critical systems in airworthy applications.

Benefits:

  • Combine the best of both worlds: a) work in fast-growing startup and b) collaborate with and learn from very experienced engineers and scientists that have previously worked at Google, SpaceX, CERN, Imperial College, and ETH Zürich.
  • Build cutting-edge technology that will shape our future.
  • Join our pilots to test your ideas in the air during test flights in the Swiss Alps.
  • Develop scarce and marketable skills in machine learning, computer vision and robotics that are relevant beyond aviation (e.g., autonomous driving, medical applications, pharmaceuticals)

How to Apply:

Send your Resume/CV, including your portfolio of projects to careers@daedalean.ai. Tell us a bit about yourself, why you think you are a good fit for us and why we are a good fit for you.

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