Request a demo We can arrange a demo to show you the capabilities of our products

Our products are used to:

_reduce the uncertainty of Machine Learning models,

_prioritize enterprise data efforts,

_support experts in the ML loop,

_improve the quality of ML models, especially in multi-class settings with complex ontologies,

_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,

_improve gaming experience via more challenging and realistic AI in games,

_create intelligent advisory systems from pre-compiled building blocks.

Spark developer

12 000 - 18 000 zł gross (contract of employment)

What you’ll do

You will be working on the scalable machine learning platform with embedded leading solutions in the fields of: data labelling, machine learning models development and diagnostics. Your tasks will focus on distributed computing, big data transformations and integration with our own optimized storage library.

What you need to know

  • Spark or other similar distributed computing system;
  • Spark architecture;
  • java/scala/Python;
  • machine learning;
  • ETL;
  • distributed file systems, e.g. HDFS;
  • SQL;
  • distributed code profiling;
  • Git.

Nice to have

  • Docker Images;
  • Spark internals;
  • Apache Arrow or Apache Parquet; 
  • Spark Streaming or Apache Flink;
  • Kubernetes;
  • running Spark on k8;
  • Kubeflow pipelines;
  • Seldon or other model serving framework.

What your tasks will be

  • integration of built in house libraries with Spark distributed execution;
  • design of customized transformers;
  • implementation of distributed versions of algorithms;
  • performance optimization;
  • integration of spark execution with machine learning platform runtime.

What people we’d like to work with

  • with people who are open; 
  • with people who are passionate about new technologies; 
  • with people who enjoy teamwork.

Your benefits

  • market-based salary adjusted to your skills; 
  • private medical care; 
  • multisport card; 
  • flexible working hours; 
  • internal trainings;
  • mentors; 
  • 10% time for self-development; 
  • good coffee; 
  • the possibility of reconciling work and studies; 
  • good location in the city of Warsaw (Wola), next to Zawiszy Square.

Feeling convinced? Apply!

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