Machine Learning Engineer

DoorDash is seeking a skilled Machine Learning Engineer to join their New Verticals, Catalog ML team. This role focuses on developing cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business. The position offers an opportunity to work on production-level machine learning solutions, solving complex challenges in catalog building and quality problems such as entity recognition, resolution, and classification.

The ideal candidate will have strong expertise in Python and modern ML frameworks, with experience in building product knowledge graphs and NLP systems. They will work closely with cross-functional teams to shape the ML-driven product roadmap and contribute to growing a multi-billion dollar retail delivery business.

DoorDash offers a comprehensive benefits package including competitive salary, equity grants, healthcare benefits, 401(k) with employer match, and various wellness programs. The company maintains a strong commitment to diversity and inclusion, fostering an environment where team members can make impactful decisions and own their careers.

This hybrid role provides the flexibility of both in-office collaboration and remote work, allowing team members to contribute to DoorDash's mission of empowering local economies. The position offers significant growth opportunities within a rapidly expanding technology company that's evolving from food delivery to becoming a comprehensive goods delivery platform.

Working at DoorDash means joining a team that values innovation, quick learning, and iteration while maintaining empathy for users across their platform - from Dashers to merchant partners and consumers. The role provides an excellent opportunity for those passionate about applying ML to solve real-world logistics and retail challenges at scale.