The Way We Navigate Today Is Broken

I bet you know the following: "You Have Arrived At Your Destination!" — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.

truemetrics provides parking positions and entrance locations to enable faster drop-offs. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.

truemetrics was founded in 2021 by Ingo Bögemann, Jan Bischof, and David Wulff, and is currently backed by Y-Combinator and notable business angels from the industry.

During his management of Wolt's operations in three of Germany's four regions, David often faced challenges with inefficiencies in the last 50 meters of delivery. Together, they started truemetrics to overcome these challenges. Ingo contributes 10 years of engineering and entrepreneurial experience, along with a successful exit. Jan Bischof holds a PhD in Control Theory and has developed software and AI solutions for nearly a decade.

What You Are Getting Into

We are looking for a senior machine learning engineer with AWS Sagemaker experience to lift our algorithms and ML infrastructure to a new level.

We use sensor data from mobile phones to predict specific motion patterns in logistic processes (e.g., delivering a parcel), and to do that, we need great expertise in ML from a person like you.

At truemetrics, your tasks include support in data preparation (sensor data & videos), the design of ML architecture, and training and optimizing our algorithms to detect motion patterns in time series.

You will be the first machine learning employee in our company, and that means you will scale the team with us - great chances and responsibilities are waiting for you, and we will promise you the option to grow with the company.

We are happy to hear from you!

Requirements

• +3 years in Machine Learning and Data Science
• Proven records of working with AWS (e.g., Sagemaker / Lambda / S3) or comparable
• Interested in ML for time series - sorry, no transformers :)
• Passion for the startup journey, proactive and solution-oriented attitude, high motivation
• You believe in facts and numbers, but also get along with people easily and communicate clearly
• Ability to prioritize - finding the line between 80 and 20
• Fluency in English and/or German.

What We Offer