Doordash - San Francisco, CA
posted 3 months ago
As a Machine Learning Engineer at DoorDash, you will play a pivotal role in developing and enhancing the models that drive our three-sided marketplace, which includes consumers, merchants, and dashers. Your primary focus will be on building a leading industry-level Natural Language Processing (NLP) and Large Language Model (LLM) system that empowers communication across the DoorDash Journey. This position offers the opportunity to identify and prioritize machine learning investments within our conversation AI and personalization ecosystem, leveraging our robust data and infrastructure to create impactful models that serve millions of users. In this role, you will lead the development of DoorDash's support chatbot and LLM system, applying advanced techniques such as active learning, semi-supervised learning, weak label generation, and data augmentation strategies to enhance the support experience for consumers, dashers, and merchants. You will also drive the personalization of our issue prediction and resolution policies, utilizing recommendation and dynamic pricing modeling technologies to provide tailored solutions for our customers. Additionally, you will spearhead the creation of next-generation LLM AI Agent tools, including a Co-pilot system that transforms user interactions with our support system. Your responsibilities will include applying stratification, variance reduction, and advanced experiment design techniques to create A/B tests that efficiently measure the impact of your innovations while minimizing risks to the broader system. This role is not just about technical skills; it also involves strategic collaboration with an engineering lead and product manager to align machine learning initiatives with business metrics that drive growth.