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Machine Learning Engineer

Permanent employee

Berlin, Edinburgh, Worldwide
Full-time
About us
Rasa builds open source ML tools to enable developers to make conversational software that really works. By conversational software we mean voice control systems, VR, AR, IoT, virtual assistants, and yes, bots. Regexes and if/else statements only get you so far, and we’re building the tools for going beyond that using deep learning. Rasa is used by thousands of developers worldwide. Our customers include leading enterprises such as UBS, ERGO and Helvetia. We're based in Berlin, funded by Techstars and Salisbury Ventures.
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.
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We’re looking for extraordinary Machine Learning Engineers 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
The core of your role is designing, implementing, and training algorithms that drive conversational software. We don’t draw a hard line between our research and engineering teams. 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, so you’ll be comfortable picking up a range of tools. One day you might prototype something from scratch in numpy, and on another work on production code using a high-level library.
About you
You love using Machine Learning to solve tough problems, and you’re passionate about conversational software. You are comfortable with the mathematics behind machine learning. You are motivated by making tools delightful for other makers. You take pride in empowering 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
Rasa is a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever needs doing. However, you can definitely expect to:
  • Design, implement & test model architectures on interesting data sets
  • Build & evaluate ML-based chat and voice systems for customers
  • Work on our open source projects
  • Collaborate on conference papers

Your application

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