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Machine Learning Researcher

Permanent employee, Full-time · Berlin

About us

Rasa is the leading open source machine learning toolkit. Our software lets developers expand bots beyond answering simple questions, via natural language understanding.

Rasa has two major products:
1. Our open source Rasa Stack which enables thousands of developers worldwide, from startup level to Fortune 500, to build in-house sophisticated chatbots and voice assistants, without hiring a big research team.
2. Rasa Platform, a premium product, makes it simpler to train machine learning models at enterprise level. Among many helpful benefits, this provides companies with faster iteration cycles, greatly reducing costs and training time.

Rasa 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 still small and we’re committed to growing a team of talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age. If you are a good fit for this role, we want to hear from you no matter who you are, and people from under-represented groups are especially welcome to apply.

We’re looking for a motivated researcher to join us at Rasa. The position offers the opportunity to have a huge impact at an early stage startup.  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. To be successful at Rasa, 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. 

Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!
About you
  • 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 and work with people across all areas of the company—from marketing and business development to UX design.

Technical requirements

  • You love using machine learning to solve tough problems, and have demonstrable experience doing so. 

  • You are comfortable with the mathematics behind machine learning.

  • Publication record in research venues in machine learning, NLP or related areas.

Things You Will 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 help prioritize our research roadmap, and assess the impact of the research we’ve shipped.

  • Design and conduct experiments that bring us closer to our vision.

  • Collaborate on research papers.

Your application

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