Permanent employee, Full-time · Berlin
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.
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
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