ROBUSTNESS FOR AUTONOMOUS DRIVING SYSTEMS

The Merantix Autonomous Safety Platform is a growing technology stack to facilitate the real world deployment of autonomous driving systems.

At the intersection of deep learning research and safety engineering, Merantix is developing an environment that enables measurable, continuous progression in autonomous vehicle software.

Full Stack

Using log data as well as simulation environments, we are testing full stack autonomous driving systems end-to-end to develop models with human-level driving capabilities.

Setting Standards

By building an independent testing system,  we can not just help to develop better AV systems, but are able to define an industry standard for certification and assurance.

Research

Through our close academic ties, frequent participation in conferences and talent pool we can leverage state of the art research and continuously improve our methods.

Our Solution Scope

Scenario Based Testing

We are building a standalone, generalized, scenario-based testing system which evaluates the full-stack performance of any AV software.

Introspective Analysis of Neural Networks

Debugging neural networks can be challenging, even for experts. With millions of parameters involved, even one small change can cause errors. At Merantix, we develop methods to visualize neural nets to make this process smoother.

Continuous Learning

Learning continuously and adaptively about the external world and enabling the autonomous, incremental development of ever more complex skills and knowledge.

Neural Network Compression

Compression of deep neural networks for memory-efficient, compact feature representations becomes a critical problem when these networks are deployed on resource-limited platforms.

Core Team

  • Charly Walther
    Charly Walther Product

    Charly is head of product for MX Automotive. He holds a degree in economics from Yale. Prior to joining Merantix, Charly worked as a product manager for Uber’s self-driving unit.

  • Róbert Torfason
    Róbert Torfason Machine Intelligence Engineer

    Robert is a Machine Intelligence Engineer at Merantix. He holds a Master’s degree in Electrical Engineering from ETH Zurich where he focused on Machine Learning for computer vision. He published his work at top tier deep learning conferences and worked for a MedTech company before joining Merantix.

  • Clemens Viernickel
    Clemens Viernickel Entrepreneur in Residence

    Clemens is a Business Strategy Manager at Merantix. He holds a Bachelor’s degree in Economics from the University of St. Gallen (HSG). Prior to joining Merantix he gained experience in Strategy & Operations at Google.

Careers at Merantix

Engaging Topics

Merantix encourages you to pursue your curiosity and passion for several diverse topics. We are dedicated to addressing machine-learning problems that are challenging and foundational to an entire industry. We believe that diversity across topics is essential to attracting and retaining the greatest talent and to promoting creativity, continuous improvement, and functional learning.

Professional Development

Merantix is proactive in making major contributions to the open-source community. We encourage all of our employees to regularly attend professional conferences. Merantix is a regular guest at notable academic conferences on machine learning such as NIPS, ICCV, ICLR and ECCV. At the ECCV event this September, we will host an Italian Night with great food where you will be able to get in touch with all of us.

Work-Life Balance

Merantix offers a dynamic and flexible work environment. Some of us come in during “regular” business hours, and some prefer to start later or earlier. Our employees have the freedom to work when it best suits them. We are a fully trust-based organization that does not track vacation time. We believe in ownership of work, personal responsibility, and the motivation of our people, which has proven to be a successful approach to leadership

 

Collaborative Culture

Merantix is a family of diverse people from all over the world that came to Berlin to work on machine learning. We truly care about the individual well-being of our employees and support all of our new employees who are joining us in Berlin with whatever they may need. We have regular offsites and encourage everyone to organize common activities; just join the “all-sports” slack channel and stay up-to-date on bouldering, swimming, running, and much more.

Our experience

We are looking for Machine Intelligence Engineers, Software & Data Engineers, entrepreneurs, and industry experts to join our team