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As a Senior Machine Learning Researcher in the Travel squad you’ll have the opportunity to contribute to our core technology that transforms mobile sensor data into public transport trips. Determining the actual public transport journey of a user based on sensor data, timetable data and various other data sources is a challenging task involving a combination of optimisation and machine learning techniques. You'll have to find creative ways to improve existing solutions and come up with new ones, contributing both to the research and engineering aspects.
As part of an international startup, you’ll design, implement and test new features and improve the existing solutions. We are looking for a person who can work effectively as a part of an agile cross-functional team of research, backend and mobile engineers.
Our Technology Profile
Role Responsibilities
Who we are looking for
At FAIRTIQ, we believe that our employees are our biggest asset. A healthy culture, based on respect, inclusion, diversity and individual empowerment is the key to our success story.
Please apply in English exclusively.
Find out more about our benefits, teams, company culture and tech stack on our FAQ page here!
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Wir sind ein innovatives, dynamisches Unternehmen, das Reisen mit dem öffentlichen Verkehr so leicht macht, wie noch nie. Die FAIRTIQ-App bietet die einfachste und cleverste Fahrkarte – für Reisende, Verkehrsunternehmen und Verbünde. Nach dem erfolgreichen Start in der Schweiz und in Österreich setzen wir nun alles daran, neue Märkte zu erschliessen, damit die Nutzer:innen des öffentlichen Verkehrs von unserer innovativen Lösung auch international profitieren können.
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