Robotics ML Intern at Tethys Robotics

About Tethys Robotics

We are a Startup located in the center of Zürich that builds underwater drones. Our field of expertise is the development of highly integrated compact systems tailored to the challenges of turbid waters with high currents and complex environments – a distinction that designates us as pioneers in the underwater landscape.

From facilitating search and rescue missions to transformational advancements in industrial inspection, our technology pushes the boundaries of what is possible beneath the waves. We are on the hunt for talent that can propel our hardware capabilities to even greater heights, by contributing to our team's energy, knowledge, and skill. Join us, as we explore the depths and redefine underwater exploration.

We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields of regenerative medicine, robotics, and medical devices/bionic technologies.

As Robotics Machine Learning Intern, you will occupy a pivotal role in the development and design of our future robotic systems. Your work will help to define the quality and features of our algorithms. Armed with your innovative spirit and project experience, you will manifest fresh ideas and novel approaches to the evolution of underwater robotic systems. Your affiliation with robotic software positions you as a key driver in the enhancement and advancement of robotic functionalities. You will work hand in hand with our R&D team, decisively pushing pioneering ideas and making them a reality.

Your contribution

In your role you are primarily responsible for the following tasks:

• Designing and implementing higher-level algorithms on top of existing networks using sonar imaging
• Testing, analyzing and proposing improvements of the networks and implementing them
• Make pioneering algorithms for sonar perception ready for deployment and test them

To excel in this role as a ML-focused robotics engineer, you should possess:

• Pursuing a master’s degree in data science, computer science, robotics, electrical or software engineering
• Hands-on Experience with most robotic disciplines: Machine Learning, Perception, Localization
• Collaborative Spirit: A team player who thrives in the fast-paced environment of a startup company.
• Independence: The ability to work independently while delivering high-quality results.
• Pragmatism: A pragmatic work attitude, capable of making practical, solution-oriented decisions.
• A minimum internship period of 6 months is required

Bonus points

Applicants with the following qualifications or experience will receive bonus points:

• Exhaustive track record in setting up software, operating systems, version control (e.g., GitHub), and design of robust project architectures.
• Evidence of such holistic project management will be considered a strong asset.

• Opportunity to develop your professional career in a modern, upcoming profession
• A modern office in the center of Zurich
• Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
• We are actively committed to a sustainable and climate-neutral university
• You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits

We look forward to receiving your online application, including the following documents:

• Cover letter
• Curriculum Vitae
• Letter of Reference / work certificates
• Bachelors / master's degree and certificate

Please apply exclusively through the online application portal. Applications submitted via email or by post will not be considered.

For more information about Tethys Robotics and Wyss Zurich, please visit their respective websites: Tethys Robotics and Wyss Zurich .

If you have any questions, feel free to contact Jonas Wüst at Write an email (please do not send application documents to this address).