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UMI.systems

Full Stack Machine Learning Engineer at UMI.systems

San Francisco, Munich · Full Time

UMI.systems redefines the way people move around cities. We're working on end-user applications to improve cross-platform transportation in the urban environment. As an early stage technology company with backgrounds from MIT, Stanford, TUM, BMW, Uber and McKinsey, we create a product which helps urban dwellers and urban companies alike. We are well funded and are supported by incubators and accelerators in the US and Germany.

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Job Description

About the role
We ship code daily. Your role involves building reliable and scalable systems from day one that handle tons of datapoints, train our models and make predictions in batch and real-time. You will work closely together with the product team as well as internal and external developers to develop features, architect and design systems and ship products to our users.

Requirements
Very good allrounder experience (Backend services, RESTful APIs, API design, server-side flows)
Excellent skills in javascript and/or python.
Ability to architect and design modular and scalable systems
Hustling-, hardworking- & shipping-products attitude: Go above and beyond to get things done!
Ownership: You are a self-starter and are satisfied by owning large chunks of the product roadmap.

Bonus points with experience/ skills in
Experience in modern web frameworks, in particular React/React Native
Mobile (iOS/Android)
Machine Learning (Tensorflow, Torch, general Python)
Data Visualization (D3, C3, crossfilter.js, …), eventually even in a geospatial setting (mapbox.gl, deck.gl); dashboard implementation
AWS deployments & DevOps
Data security and encryption mechanisms
A good “design” eye, i.e. ability to quickly develop and iterate on sketches and MVP designs and build beautiful applications

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What We're Building

We are a young technology company. Our mission is to promote shared mobility services. In doing so, user and location privacy is our highest priority. We are at the frontier of top-of-the-edge privacy compliant machine learning on top of location and sensor data.

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UMI.systems Team

Nikolaus Volk
[Ex Uber / Stanford] Full Stack & DataScience: AI, ML & DeepLearning; worked @iRhythm Technologies @Intel Mobile Communications @McKinsey & Company @Uber
Francesco Wiedemann
Launched several Shared Mobility services @BMW Group @ReachNow; previously @Deutsche Bahn @Harvard Innovation Labs @MIT Media Lab
Ludwig Schoenack
Worked at McKinsey & Company