Senior Machine Learning Engineering

This role sits at the core of a next-generation ecommerce search and discovery platform that operates at massive global scale. You will be responsible for building and optimizing machine learning systems that directly impact relevance, recall, and business-critical outcomes such as conversion and revenue. The environment is highly technical and innovation-driven, with a strong emphasis on production-grade ML systems and measurable impact. You will collaborate with engineers across distributed teams to push the boundaries of LLMs, deep learning, and large-scale data systems. Design, build, and deploy robust machine learning systems for search and discovery, including NLP, image-based, and multimodal models that improve recall and relevance. Develop and optimize ML/DL models using transformer architectures and LLM techniques to enhance system performance and business KPIs. Translate research ideas and hypotheses into production-ready engineering solutions that improve search quality, ranking, and user experience. Work on large-scale distributed data pipelines and ML workflows using big data technologies to support end-to-end model development and deployment. Collaborate closely with cross-functional engineering teams to integrate models into broader platforms and ensure system scalability and reliability. Conduct performance optimization and iterative experimentation to continuously improve model efficiency and business impact. 3+ years of professional experience in applied machine learning with a proven track record of delivering production-grade ML systems. ~ Strong expertise in NLP, particularly transformer-based models, along with solid understanding of classical machine learning techniques. ~ Advanced Python skills and hands-on experience with deep learning frameworks (PyTorch preferred). ~ Strong experience with SQL (e.g., SparkSQL, MySQL or similar) and working knowledge of large-scale data processing systems such as PySpark. ~ Ability to translate business ...