After years of research, Planted was founded in July 2019 as a spin-off from ETH Zurich. Our revolutionary plan will make the world a better place. We structure meats from plants that is no way inferior to animal meat, scores with unique taste, and authentic texture, and is miles ahead in terms of sustainability and health!
Planted is more than a delicious product - it's also an attitude. We want to radically change the way meat is perceived and consumed and inspire a shift from eating animal proteins to eating plant proteins.
We bring about change. Not just because we can. Because we have to. Are you hungry for change too? Then join our «Tasty Revolution»!
Planted is a technology leader in the fast-growing plant-based meat market. To maintain this leadership position and continue to provide the best taste and texture to customers, planted needs to continuously invent new and better products in the lab and scale those products. We believe that gaining data-driven insights into our manufacturing processes by connecting our machines to the cloud enables us to scale new products faster
We are looking for someone who works side by side with food scientists and process engineers to tackle their challenges by building data products (SQL, python, IoT sensors, AWS).
Planted believes that Gen AI will make people significantly more productive on a variety of tasks. This holds the chance of baking Gen AI into these processes from the start. As a young and growing company, planted has the chance to bake gen ai into its processes from the start
We are looking for someone who can break down this huge space of potential opportunities, priotize what planted needs and also bring data products around Gen AI to live (either by buying the right product and/or developing it yourself).
Please note that we only consider applications that reach us directly through our career platform. We're pleased if you upload a personalized video so that we can get a first impression of your personality. However, it is no disadvantage if you decide to apply without video.
If you have any questions, Alex from Team Talent & Culture is happy to help you out: firstname.lastname@example.org
The Data Science Team is looking forward to getting to know you!