Staff Machine Learning Engineer - Merchant Tax Categorization Service

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants.

We're looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurants items at DoorDash. You will be expected to lead and build a production-level AI/ML solution, collaborate cross-functionally, and push the boundaries of LLM capabilities and lead the AI product strategy for the team to execute.

You're excited about this opportunity because you will: • Lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information. • Design ML products to solve large scale categorization problems transaction level for DoorDash. • Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML. • Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. • Being exposed to new opportunities where AI/ML can be used as a lever that benefits new business, new markets, and new regions.

We're excited about you because you have: • 6+ years of industry experience leading and developing advanced machine learning models with business impact, and shipping ML solutions to production. • Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models • M.S., or PhD. in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields. • Ability to communicate technical details to nontechnical stakeholders • Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. • Familiarity with Kotlin/Scala. • You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down • The desire for impact with a growth-minded and collaborative mindset

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.