ABOUT THIS ROLE
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!
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.
- You have a proven record of NLP research in academia or industry.
You love using machine learning to solve tough problems, and have demonstrable experience doing so.
You are comfortable with the mathematics behind machine learning.
THINGS YOU WILL DO
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.
WHAT YOU CAN EXPECT FROM US
- Flexible hours, work from home when you need to
- 1000 Euro’s personal development fund to help you grow within your role
- 26 days paid holiday per year
- A new Macbook, and other Tech to help you to do your job
- Your choice of snacks, fresh fruits + drinks at the office
- We have regular team events, as well as regular social events
- 2 team offsites every year, our last one was 3 days in beautiful Brandenburg.
At Rasa, we're building the standard infrastructure for conversational AI. With over half a million downloads since launch, our open source tools are loved by developers worldwide, and Rasa runs in production everywhere from startups to Fortune 500s. Our friendly community is growing fast, with developers from all over the world learning from each other and working together to make text- and voice-based AI assistants better.
Rasa's machine learning-based dialogue tools allow developers to automate contextual conversations. What are contextual conversations? Real back-and-forth dialogue that is handled seamlessly. Taking AI assistants beyond fixed question / answer pairs creates exciting new use cases for people and business. The tip of the iceberg includes automation of sales & marketing, internal processes, and advanced customer service that integrates into existing backend systems. With Rasa, companies control their own destiny, investing in AI that they own and ship instead of relying on third parties.
Rasa has raised $14 million in total funding from Accel, Basis Set Ventures and open source founders such as Ross Mason (MuleSoft), Mitchell Hashimoto (Hashicorp) and Florian Leibert (Mesosphere). The company is headquartered in San Francisco, CA, with R&D offices in Berlin, Germany and was founded in 2016.
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.