Research Engineer - Machine Learning (Ranking and Recommendations)

  • Warszawa, Poznań, Kraków, Toruń, Wrocław, Gdańsk, Katowice, Łódź, Lublin, Poland
  • Pełny etat

Opis stanowiska

Why should you work at Allegro?

  • Being a part of Machine Learning Research team, you will be responsible for finding solutions to research problems that we encounter at Allegro with focus on providing the best search experience using state-of-the-art Learning to Rank methods
  • While working on a new problem, you will explore it in depth and conduct 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. This will be your responsibility to deliver production-grade model with desired latency requirements
  • To apply state-of-the-art solutions, you will stay up to date with the scientific progress. You will deepen your knowledge by reading the latest papers in your domain, 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 scientific conferences (oral presentations, poster sessions). You will develop your scientific 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 implementation of the ML models at scale unprecedented anywhere else in Poland

What we can offer:

  • Startup work culture and a 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 broad selection of internal training courses
  • Participation in top-tier ML/AI international conferences (NeurIPS, ICLR, ICML, ACL, CVPR, ICCV, etc.)
  • Internal ML-seminars (both covering broad ML topic, as well as domain oriented, eg. Learning to Rank)

We are looking for candidates who:

  • Have a master's or PhD in machine learning, mathematics, computer science, statistics or related fields
  • Know Python, have at least basic knowledge of ML frameworks (PyTorch, Pandas, SciKit-Learn, PySpark, LightGBM), 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. Bonus points for prior experience in working with performance marketing  or customer value management
  • Have a good knowledge of deep learning as well as fundamental machine learning techniques, neural networks in particular, especially in domains ranking and recommendation systems
  • Know the methodology of conducting scientific research and the use of iterative process of conducting experiments
  • Having experience with training machine learning models in a distributed cloud environment will be an advantage (e.g. Google Cloud Platform, Kubernetes)
Polityka prywatności