DoorDash is seeking a Machine Learning Engineer to join their New Verticals Catalog ML team, focusing on developing cutting-edge NLP and product knowledge graph models for their growing grocery and retail business. This role is crucial in building the world's most reliable on-demand logistics engine for last-mile grocery and retail delivery. The position involves conceptualizing, designing, and implementing algorithmic improvements to the catalog system and product knowledge graph, making it accurate, standardized, and semantically rich.
The ideal candidate will have strong expertise in production-level machine learning, particularly in areas such as entity recognition, resolution, and classification. They will work with robust data and ML infrastructure to implement solutions that enhance the product knowledge graph's functionality and user experience. The role requires collaboration with multi-disciplinary teams and offers the opportunity to impact a multi-billion dollar retail delivery business.
DoorDash offers a comprehensive benefits package including competitive base salary with equity grants, premium healthcare, 401(k) with employer matching, generous parental leave, and various wellness benefits. The company maintains a strong commitment to diversity and inclusion, actively working to create an inclusive environment for all employees.
The position is hybrid, offering flexibility between remote and office work, with locations in major tech hubs. This is an excellent opportunity for someone passionate about applying ML to solve real-world problems while contributing to the growth of a leading technology and logistics company that's expanding beyond food delivery into all goods delivery.