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Machine Learning Engineer

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.

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

Please answer the following questions in your cover letter:

Why you're applying for this position?
Something you've built and why you're 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.