Senior Research Engineer - Learning to Rank

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.), 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

sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits