Senior Research Engineer - Learning to Rank

Wymagania: - Have a master's or PhD in machine learning, mathematics, computer science, statistics or other STEM fields - Have a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.) - Know the methodology of conducting scientific research and the use of iterative processes of conducting experiments - Have experience in working with real data that deviate from the standard, well-developed collections used in research - Know Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Mile widziane: - Understanding of Information Retrieval (IR) area - Published research papers in ML-related topics - Experience in business cooperation, deployments of ML-based solutions in commercial environments - Prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) - Prior experience in using LLMs for synthetic data generation/solving business problems Zakres obowiązków: - End-to-end ML ownership: Design and deliver production-ready machine learning solutions for Allegro products - Data exploration: Analyze and understand complex data sets, identifying relevant data sources for ML use cases - Model development & evaluation: Train, evaluate, and experiment with applied ML models using reliable evaluation methods - Applied ML research: Translate state-of-the-art ML research into practical improvements for real-world solutions - Tooling & methodology: Select ML tools and techniques that best fit concrete business needs - Production collaboration: Work closely with cross-functional teams to deploy ML solutions into production - Knowledge sharing: Spread ML expertise through internal sessions, presentations, and research activities - Mentorship & expertise: Support junior team members and act as a trusted ML expert within the organization Oferujemy: - Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. - Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). - Annual bonus based on your annual performance and company results. - Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). - A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. - 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. - A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings. - An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. - Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.