Senior ML Engineer

• Search team (Lead/Senior): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience
• Order Experience team (Senior) – developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds

Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins

• Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries
• Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code
• Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production

• Experience in developing recommendation or search systems
• Experience training neural network models
• Experience working with various data sources: Spark, Cassandra, Mongo, Kafka
• Knowledge of Go