Machine Learning Engineer

Job Summary

Building advanced machine learning systems for personalized recommendations, the full-time Machine Learning Engineer will work remotely to develop and optimize models for retrieval, ranking, and LLM-based approaches, enhancing product discovery for millions of users and merchants.

Key Responsibilities

• Develop and optimize advanced machine learning models for recommendation systems, including retrieval and multi-objective ranking
• Build and maintain end-to-end ML pipelines, from feature engineering and training through offline evaluation, online experimentation, and production serving
• Collaborate closely with platform, infrastructure, and product teams to integrate ML solutions into the unified recommendations pipeline

Required Qualifications

• Extensive experience building and deploying machine learning models for large-scale recommendation, personalization, or ranking systems
• Strong proficiency in ML frameworks including TensorFlow or PyTorch, with expert-level Python programming skills
• Hands-on experience with learning-to-rank approaches and gradient-boosted tree frameworks (XGBoost, CatBoost, LightGBM)
• Proven analytical skills for processing and extracting insights from large-scale datasets; comfort with BigQuery/dbt, feature stores, and streaming event pipelines
• Experience with statistical methods and performance optimization for ML systems at scale