An­ge­bot 457 von 464 vom 13.08.2018, 10:40


Rasa Tech­no­lo­gies GmbH

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.

Soft­ware Engin­eer

spe­cial­isa­tion machine learn­ing pos­sible

Work­ing field:

About the role:

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.

Things you will do:

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 lib­rar­ies 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


You are excited about Rasa’s mis­sion: to empower makers to build AI assist­ants that every­one can use. You will have the oppor­tun­ity to design and develop cre­at­ive, com­pel­ling, and cut­ting-edge sys­tems that sup­port this mis­sion. You take pride in teach­ing and learn­ing from team­mates, and enjoy con­struct­ive peer review in a respect­ful envir­on­ment. You're com­fort­able being lean and fix prob­lems without wait­ing for someone to tell you to. You can effect­ively com­mu­nic­ate what you’re work­ing on with non-tech­nical team mem­bers.

How to ap­ply:

Please apply via our job page If you have any ques­tions, don't hes­it­ate to get in touch with Linda (