Pitch is the collaborative presentation software for modern teams. We're focused on making it fast and delightful for teams to create and deliver beautiful presentations, and easy for anyone to find inspiration from templates crafted by experts. Since we launched Pitch publicly in October 2020 and raised our Series B funding in May, over 100,000 teams have adopted Pitch as their presentation software of choice, including top brands like Intercom, Superhuman, and Notion.
At Pitch, we believe that the problem space of modern presentation software is ripe for innovation, and calls for Artificial Intelligence (AI) and Machine Learning (ML) to augment the many redundant and mundane user-tasks required to create a delightful and engaging presentation.
As a Machine Learning Engineer at Pitch, you will join a small, focused group of engineers to create and extend AI methods for the core product area of document creation and design. You will participate in the development of completely novel approaches that allow us to unlock innovation and business value.
If you are passionate about applying your Machine Learning Engineering skills to Pitch's uniquely rich dataset (image data, text, layout and beyond) and pioneer state of the art techniques in the presentation/design tool domain, we'd love to hear from you!
Curious about our engineering culture? Our CTO and co-founder Adam Renklint recently contributed to a blog post that dives deep into our technical foundation, our iterative approach to development and our philosophy on building a sustainable engineering culture that’s all about joyful work.
Pitch was founded in Berlin, but as a remote-first company, our team works together from all over the world. With that mindset, we're building an inclusive workplace that invites diverse perspectives, and values talent from diverse personal and professional backgrounds.
Sounds like a good fit? Join us on our mission to enable every team's best thinking - we look forward to hearing from you!