Salary: €60K – €75K

JOIN OUR MISSION

We are a team of engineers and researchers with a mission to build autonomous IT infrastructures. We believe in a world where IT infrastructures do not require humans to manage them. A world where IT problems are somebody else’s problem, that is, AI. We are creating that world, join us.

THE ROLE

  • Build distributed, high-volume data pipelines that power our core product
  • Do it with ELK, Spark, Kafka and other open-source technologies
  • Manage the life cycle of our data pipelines, from integration with CI/CD to auto-scaling to fault tolerance
  • Work all over the stack, moving fluidly between programming languages: Scala, Java, Python, Go, and more
  • Join a tightly knit team solving hard problems the right way
  • Cooperate with full stack developers and machine learning scientists to integrate your data pipelines into our product

Preferred experience

REQUIREMENTS:

  • Masters or PhD in computer science, mathematics or a related engineering field
    ● Ideally 2-5 years of experience and a proven record in building machine learning and data pipelines for ML at scale. You should be comfortable with ML techniques.
    ● Programming skills in Python, Go, and Scala/Java
    ● Proven record of building supporting ML pipelines that work at scale
    ● Great ability to rapidly create prototypes and testing them at scale

PERKS:

  • Awesome compensation package
    ● Health coverage for you and your family,
    ● A choice of brand new laptops,
    ● Free lunch allowance,
    ● Unlimited snacks and drinks,
    ● Spacious office in the heart of Paris with easy transport links
    ● We know coffee is life. Our building has multiple coffee machines, free of charge.

JOIN OUR MISSION

We are a team of engineers and researchers with a mission to build autonomous IT infrastructures. We believe in a world where IT infrastructures do not require humans to manage them. A world where IT problems are somebody else’s problem, that is, AI. We are creating that world, join us.

Recruitment process

1) 30 minutes phone call interview with our CTO
2) On site interview with our CTO
3) A tech challenge
4) Offer letter

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