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Exist Pro­ject RestRun­ner

An inter­na­tional and diverse team with a strong cap­ab­il­it­ies in busi­ness develople­ment, soft­ware devel­op­ment and data sci­ence seek­ing to change the way soft­ware com­pan­ies test and savely deploy their code with the help of machine learn­ing.

Machine-Learn­ing Stu­dent/Intern Pos­i­tion with an Exist-fun­ded Star­tUp

Work­ing field:

Machine Learn­ing / Soft­ware Devel­op­ment

Require­ments:

You want to apply your machine learn­ing skills to real world prob­lems and extend your skills in a group of exper­i­enced data sci­ent­ists? Our team of data sci­ent­ists works with unsu­per­vised online-learn­ing algorithms to detect anom­alies in con­tinu­ously chan­ging data streams. This comes to the bene­fit of soft­ware devel­op­ment com­pan­ies whom we help to unravel unex­pec­ted beha­vi­ors in their APIs - may it be due to an unfor­tu­nate code deploy­ment or a malig­nant hacker - as well as the machinery industry whom we help to under­stand when a machine or sys­tem behaves unex­pec­tedly and might be at the risk of fail­ing. We want to extend our team to accel­er­ate the growth and grav­ity of these data sci­ence pro­jects - inter­ested?

What you should bring:
  • M.Sc. or PhD stu­dent in data min­ing/machine learn­ing or a related field
  • Strong pro­gram­ming skills in one or more of Java/Python/Scala/R
  • Strong found­a­tion in machine learn­ing and data min­ing algorithms
  • Solid back­ground in SQL/NoSQL data­bases
  • Excel­lent com­mu­nic­a­tion and inter­per­sonal skills

Addi­tional skills that would make us happy:
  • exper­i­ence with javas­cript and node.js
  • exper­i­ence with amazon web ser­vices (AWS)
  • exper­i­ence with big data tech­no­lo­gies such as Spark, Kafka, Hadoop, Hive, Pig

What we of­fer:

  • a team of exper­i­enced data sci­ent­ist and full-stack soft­ware developers who are more than happy to share their know­ledge with you
  • work­ing on diverse data-related pro­jects
  • work­ing with state-of-the-art machine learn­ing algorithms
  • an inter­na­tional team with a diverse skill set and back­ground, who loves work­ing together
  • a beau­ti­ful office place in Kreuzberg (May­bachufer)

How to ap­ply:

Inter­ested, but not con­vinced yet? Get in touch with us via fabiankirsch@posteo.de - we look for­ward to meet­ing you!

IMPORT­ANT NOTICE: You need to be able to write us an invoice for the work you do for us! As long as we are fun­ded by Exist we can­not employ you.