Permanent employee, Full-time · Berlin
Rasa is the leading open source machine learning toolkit that lets developers expand bots beyond answering simple questions. Our open source Rasa Stack enables thousands of developers worldwide from startups to Fortune 500 to build in-house conversational AI (e.g. sophisticated chatbots and voice assistants) without hiring a big research team. Rasa Platform, a paid product, makes it simpler to train our machine learning models across multiple enterprise functions, allowing for faster iteration cycles.
The company is headquartered in Berlin (Germany), funded by Basis Set Ventures, Techstars and open source entrepreneurs such as Ross Mason (Founder of MuleSoft) and John Newton (Co-founder of Alfresco).
Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.
Machine learning research at Rasa is not about tweaking architectures until you get state-of-the-art results on an established dataset. You'll have to come up with new questions to ask, new experiments to conduct, and break an ambitious long-term vision down into measurable milestones. Your work will go into libraries used by thousands of developers all over the world.
We do fundamental research, and we ship commercial quality software that puts it to use. We mostly work in Python, but dip into other languages when it makes sense to. Because research is so close to engineering, you’ll quickly learn a lot about APIs, Docker, deployment, continuous integration, and what it takes to write production code.
We’re a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever is required to support our mission. However, you can definitely expect to:
Take research from an initial idea all the way to a merged PR in our open source libraries
Speak to the Rasa community (developers who use our libraries) to prioritize our research roadmap
Design and conduct experiments that bring us closer to our vision
Collaborate on research papers
Please upload with your CV a cover letter in which you answer the following questions:
Why are you applying for this position?
What is something you've built and why are you proud of it?
What is the most frustrating interface that you used?