Flash is revolutionizing urban mobility. We are changing how people move around cities by developing and deploying a smart, fun and environmentally-friendly transportation system. Headquartered in Berlin, but with mostly-autonomous local teams distributed across major European cities, we are starting by launching a fleet of next-generation electric kick-scooters.

And this is only the beginning. Flash is one of the fastest growing global tech start-ups, with the bold ambition of improving people’s lives through safe, convenient, affordable and comfortable mobility.

Come join our team, be part of this exciting journey, help to build a more sustainable future! 


  • Implementing algorithms in Python for Demand Forecasting, Deployment, and Rebalancing; User Classification - Marketing, Safety and Theft; Predictive Maintenance; Image Classification and Segmentation
  • Solving problems from start to finish - understanding underlying problems affecting the business, finding the correct data, running experiments, finding solutions, and implementing production
  • Drafting white-papers, presentations and workshop materials to communicate insights to the tech and business teams
  • Data formatting, preparation, and ETL
  • Implementing high performance algorithms


  • 3+ years of professional experience as a machine learning engineer in a production environment
  • Experience in a wide range of algorithms, i.e. Bayesian statistics, demand and marketplace forecasting, machine learning (Trees, Regression, GBMs, Clustering) and Deep Learning (supervised, unsupervised, time series/sequential data)
  • Experience with machine learning libraries and platforms for production and commercial products, i.e. TensorFlow, Keras, PyTorch, scikit-learn
  • Ability to clearly communicate insights from basic data transformations to complex "black-box" models to our tech and business teams, as well as managers and C-level executives, as well as the ability to defend algorithm choices to peers and industry experts 
  • You work well in team. You comfortably collaborate with designers, developers, and other team members to clarify requirements, implement solutions, and ensure all requirements are met

Nice to have:

  • Enthusiasm for e-scooters and making our cities more liveable 
  • Experience working in the mobility sector
  • Knowledge of causal inference

What We Offer

  • The opportunity to revolutionize urban mobility and change cities for all of us
  • Professional and personal growth building one of the fastest growing startup of 2019 with a very experienced team of entrepreneurs
  • A rapid environment where autonomy, fast decision making and learning by trying is key
  • Working together in a team of the best in their fields from top companies around the world


Ready to undertake your next big thing? Awesome! We look forward to talking with you.  

Your application and personal data will be collected by LMTS Germany GmbH. 

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