Senior Machine Learning Engineer: Ranking

Constructor is a next-generation platform for search and discovery in ecommerce, seeking a Senior Machine Learning Engineer for their Ranking team. The role focuses on enhancing ranking systems to optimize key business metrics such as revenue and conversion rates through the development of state-of-the-art machine learning algorithms.

Responsibilities:

• Design and Develop ML-Based Ranking Solutions: build, deploy, and optimize machine learning models to enhance search engine ranking systems, driving improvements in key business metrics such as conversion, engagement, and user satisfaction
• Improve Ranking Quality: analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals
• Innovate and Optimize Ranking Algorithms: proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs
• Collaboration with Cross-Functional Teams: collaborate with technical and non-technical business partners to develop / update ranking functionalities (both within and outside the team)

Requirements:

• At least 4 years of experience with Python for machine learning and backend development
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery
• Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus
• Experience collaborating in cross-functional teams
• Experience leading projects to success
• Excellent English communication skills
• Enjoy helping others around you grow as developers and be successful
• Pick up new ideas and technologies quickly, love learning and talking to others about them
• Love to experiment and use data and customer feedback to drive decision making