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Machine Learning Researcher

Permanent employee, Full-time · Berlin

About us

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.

meta
We’re looking for extraordinary machine learning researchers to join us at Rasa. Starting a new job can be scary, and that’s especially true for an early stage startup. The flip side is that you get to have a huge impact. The point of this post is to provide enough information to let you decide whether to apply.
About this role
We don’t draw a hard line between our research and engineering teams, we all work on the same stack and share work, knowledge, and tools. The driver for our research is this: what would help developers build great conversational software? How can we enable them to build things that are currently out of reach? The primary outcome of our research is new features in the open source Rasa Stack. We also write papers but that's secondary to the code output.

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. 

About you
You are excited about our mission: to empower makers to build AI assistants that everyone can use. You love using Machine Learning to solve tough problems, and have demonstrable experience doing so. You are comfortable with the mathematics behind machine learning. When someone presents the results of an experiment, you ask questions that cut to the heart of the matter. You take pride in teaching and learning from teammates, and enjoy constructive peer review in a respectful environment. You can effectively communicate what you’re working on with non-technical team members.
Things You Might Do

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

Your application

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?

Please upload any documents that you want to include with your application. CV and cover letter are required. Please be aware that If you don't answer the questions we cannot consider your application.
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