Intern / Student · 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.
Software Development at Rasa is not only about writing Code. You'll have to come up with good architectural designs, quality code, and break an ambitious long-term vision down into milestones and issues.
We don’t draw a hard line between our engineering and research teams, we all work on the same stack and share work, knowledge, and tools. A lot of the code we create is open source and used by a large community of developers. The driver for our development efforts is this: what would help developers build great conversational software? What can we enable them to build that they couldn't do currently?
We do fundamental machine learning 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 engineering is so close to research, you’ll quickly learn a lot about Machine Learning, Model Management, Data Analysis workflows, and what it takes to ship machine learning applications into production.
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:
Architect, code, & test backend services to support machine learning training, prediction and annotation
Work on our open source projects alongside our large contributor base and community
Improve the scalability & performance of backend services for our enterprise customers which are handling high loads
Speak to developers who use our libraries to prioritize our engineering efforts
Thank you for considering a career at Rasa. Please fill out the following form. In case you are experiencing problems with the document upload, mail your documents to email@example.com.