Research Engineer - Machine Learning (Reinforcement Learning)

  • Warszawa, Kraków, Poznań, Toruń, Wrocław, Gdańsk, Katowice, Łódź, Lublin, pl
  • Full-time

Job Description

In the recommendation team, we are working on personalization of our platform. Our aim is to generate relevant recommendations to our users in the most appropriate manner in terms of time, context and products. Currently, we are looking for people to start Reinforcement Learning recommendation solutions. You will be doing a literature review and you will be working on the first implementation which will be tested on the large-scale e-commerce platform.


Why should you work at Allegro?

  • Being a part of the Machine Learning Research team, you will be responsible for developing solutions in automated decision making (RL) for recommendation problems that we encounter at Allegro

  • While working on a new problem, you will explore it in depth and conduct a  literature review, looking for the most promising techniques for a given problem

  • You will be responsible for the preparation of the production-grade machine learning models, supporting the development team

  • To apply state-of-the-art solutions, you will stay up to date with scientific progress. You will deepen your knowledge by reading the latest papers in your domain and sharing the knowledge with other team members of the research teams operating in Allegro 

  • You will have the possibility to share the results of your research in the scientific community by taking part in the conferences (oral presentations, poster sessions). You will develop your career, as well as Allegro's presence in the world of science

  • In your daily work, you will expand your knowledge by cooperating with people who have hands-on experience in the implementation of the ML models at a scale unprecedented anywhere else in Poland


What we can offer:

  • Startup work culture and stability of the mature organization

  • Modern office and work tools

  • Informal atmosphere in a professional team

  • A large package of non-wage benefits in the cafeteria system 

  • English classes designed with the engineers in mind

  • 20% of your work time for individual ML research

  • Training budget and a broad selection of internal training courses

  • Participation in top-tier ML/AI international conferences (NeurIPS, ICLR, ICML, ACL, CVPR, ICCV, etc.)

  • Internal ML-seminars (covering broad ML topics, as well as domain-oriented)


We are looking for candidates who:

  • Have experience and/or interest in developing Reinforcement Learning algorithms

  • Have at least one year of professional experience

  • Know Python, have at least basic knowledge of ML frameworks (PyTorch, TensorFlow, Pandas, SciKit-Learn,.), and have experience in shipping and maintaining ML models in production

  • Developed ML models with real data that deviate from the standard, well-developed datasets used in research

  • Have a good knowledge of machine learning techniques, in particular, those used in decision making (classification/regression problems, bandits, model-free and model-based reinforcement learning)

  • Know the methodology of conducting scientific research and the use of the iterative process of conducting experiments

  • Have experience with training machine learning models in a distributed cloud environment will be an advantage (e.g. Google Cloud Platform, Kubernetes)

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