The Way We Navigate Today Is Broken:

Remember getting lost in a Berlin courtyard while trying to find a friend's apartment? Couriers face this maze every day: zero parking, hidden entrances, and confusing complexes. It's a last-mile challenge that's gone unaddressed—until now.

truemetrics solves this problem: We offer exact locations for entrances and parking positions to speed up deliveries by analyzing sensor data from drivers' smartphones.

We are backed by Y-Combinator, Rebel Fund, Soma Capital, and other big names in Silicon Valley, and now we are looking for you to join our team.

Are you seeking an opportunity to gain experience in an early-stage startup? Do you wish to work with a friendly and open-minded team that values collaboration over hierarchy? If so, we would love to hear from you!

What you are getting into:

We are looking for an enthusiastic Master's Thesis Candidate with a passion for Machine Learning and a keen interest in pioneering motion and positioning algorithms. This is your chance to be at the forefront of technological innovation, working on groundbreaking algorithms to help the couriers find the entrance of their customers.

Your Mission:

As an important member of our team, your primary mission will be to develop novel algorithms that enhance our understanding and utilization of mobile phone sensors to track the delivery journey.

Your Exploration Fields:

Depending on your passion and expertise, you can delve into one or more of the following topics:

• Master Machine Learning: Engage with algorithms like random forests and SVMs. You'll not only master their usage but also learn to fine-tune their parameters to maximize their value in real-world applications, particularly for enhancing the efficiency of couriers.
• Benchmark Cutting-Edge Algorithms: Dive into the realm of motion pattern recognition and differentiate between outdoor and indoor contexts. You'll assess your innovations against the benchmarks, setting new standards in algorithm performance.
• Tackle Intriguing Edge Cases: Explore unique challenges like estimating a driver's step count or detecting when a courier is in an elevator. Collaborate with us to explore these scenarios and push the boundaries of what's technically feasible.

Collaborative Path to Success:

Together, we'll discover the topics that best fit your skillset and interests. We'll collaboratively define a detailed thesis subject that not only aligns with your academic goals but also contributes to the field of Data Science and algorithm development. Join us to embark on a journey that promises professional growth, intellectual fulfillment, and the opportunity to make a tangible impact in the tech world.

Requirements:

• You are experienced in classical machine learning and you understand that Machine learning is more than ChatGPT and transformers.
• You plan to start your Master's thesis within the next 2 months.