✨ About The Role
- Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, and category classification
- Partner with engineering, product, and business strategy leaders to shape an ML-driven product roadmap for a multi-billion dollar retail delivery business
- Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and delivery experience
- Report to the engineering manager on the New Verticals, Catalog ML team and work on conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and product knowledge graph
âš¡ Requirements
- Experienced in developing machine learning models with a business impact, with at least 5 years of industry experience
- Holds a Master's or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields
- Proficient in Python and experienced with machine learning methods in building product knowledge graphs
- Skilled in using frameworks like PyTorch, TensorFlow, or similar, and familiar with Natural Language Processing, Graph-based Models, and Computer Vision
- Enjoys collaborating with multi-disciplinary teams and has a growth-minded and collaborative mindset