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. You will be responsible
  for a correctly functioning production model and meeting desired latency requirements

• 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, 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 the implementation of the ML models at scale unprecedented anywhere else in Poland

What we offer:

• A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

• Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)

• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

• English classes that we pay for related to the specific nature of your job

• Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise

• A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things

• Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

• If you want to learn more, check it out

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 (e.g. Google Cloud Platform, Kubernetes)

This may also be of interest to you: 

https://ml.allegro.tech/