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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.

Machine Learning Engineer (Python)

10 000 - 18 000 PLN gross

contract of employment; hybrid

  

What you’ll do

You will be an integral part of one of our R&D Teams that develop novel methods and solutions across a wide array of AI and Machine Learning fields. Our projects include aspects such as active learning, model diagnostics, explainable AI, auto-ML, big data, approximate reasoning and neuro-symbolic approaches. We work both on big in-house projects as well as cooperate with partners in specific implementations. 

 

The R&D Teams work hand in hand with Engineering Teams to deliver commercial quality solutions as the final product. You will get a broad understanding of the products and work on their various aspects. As a mid you will have real impact on the direction of our research and development. Your suggestions and experience will be the driving power of a project.

 

What you need to know

  • You must be proficient - on at least mid/regular level in one or more of the following:
    • Active Learning
    • XAI
    • Machine Learning with non-tabular data; in areas such as computer vision or sound processing;
  • Deep understanding of ML models - theory, practice, common pitfalls
  • Ability to critically read scientific texts and apply methods that are described in scientific literature
  • Experience with developing custom programming libraries, designing APIs and/or pipelines 
  • Advanced Python
  • 3+ years of work experience in Machine Learning or Data Science 
  • clean code;
  • Git.

Nice to have

  • Hands-on experience in multiple areas from the first bullet in the requirements;
  • Tools for automated tests;
  • Docker and Kubernetes;
  • Experience in R&D grants (e.g. delivering milestones for them).

 

What your tasks will be

  • data analysis
  • programming in Python (e.g. libraries and tools)
  • reading scientific texts
  • applying, testing and modification of state of the art machine learning algorithms as well as novel solutions
  • code reviews 
  • participation in an Agile development process

 

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.

Feeling convinced? Apply!

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