Machine Learning Engineer

DoorDash, a leading technology and logistics company, is seeking a Senior Machine Learning Engineer to join their innovative team. This role presents an exciting opportunity to work on cutting-edge AI technologies that power their three-sided marketplace of consumers, merchants, and dashers.

The position focuses on developing and improving sophisticated machine learning models, particularly in the areas of natural language processing, LLM systems, and personalization. As a key member of the team, you'll be responsible for building industry-leading NLP/LLM systems to enhance all communication aspects of the DoorDash journey, while also developing recommendation and personalization features to optimize user experience.

The ideal candidate brings 3+ years of industry experience in optimization models and at least one year in a tech lead role. A strong educational background with an M.S. or Ph.D. in a quantitative field is required. The role demands expertise in machine learning, particularly in NLP techniques, big data analysis, and A/B testing methodologies.

Working at DoorDash offers the opportunity to make a significant impact on millions of users across their platform. The company provides comprehensive benefits including healthcare, 401(k) with employer match, paid parental leave, and various wellness benefits. The compensation package is competitive, with base salary ranging from $137,100 to $299,300 USD, depending on level and location, plus equity opportunities.

This role is perfect for someone who is passionate about applying advanced machine learning techniques to real-world problems, enjoys working with large-scale systems, and wants to be part of a company that's transforming the logistics and delivery industry. You'll be working from one of DoorDash's engineering hubs in major tech centers, collaborating with talented teams to build the future of on-demand delivery services.