We are a startup located in the heart of Zürich, specializing in the development of underwater drones. Our expertise lies in creating highly integrated compact systems specifically designed to tackle the challenges of turbid waters with strong currents and complex environments. This unique focus positions us as pioneers in the underwater exploration landscape.
Our technology plays a vital role in diverse applications, from facilitating search and rescue missions to driving transformative advancements in industrial inspection. We are seeking talented individuals to elevate our hardware capabilities by contributing their unique energy, knowledge, and skills. Join us as we dive deep and redefine what is possible beneath the waves.
We are proud to be supported by the Wyss Zurich Translational Center, a distinguished accelerator program linked with ETH Zürich and the University of Zürich, which addresses the rapidly growing fields of regenerative medicine, robotics, and bionic technologies.
As a Robotics Machine Learning Intern, you will play a crucial role in the development and design of our future robotic systems. Your contributions will help define the quality and features of our algorithms. With your innovative mindset and project experience, you will bring fresh ideas and creative approaches to the evolution of underwater robotics.
Collaborating closely with our R&D team, you will be a key driver in enhancing and advancing robotic functionalities, transforming pioneering concepts into reality.
In this role, you will be primarily responsible for:
To excel in this role as a ML-focused robotics engineer, you should possess:
Bonus points will be given for the following qualifications or experience:
We look forward to receiving your online application using the form below. Only applications matching the job profile will be considered.
If you have any questions, feel free to reach out to Jonas Wüst at jonas@tethys-robotics.ch (please do not send application documents to this address).
Location : Zürich ETH-Zentrum
Country : Switzerland