About the role
Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business. We’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams. You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building. Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business. Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. We're excited about you because you have… 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact Experience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision. Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks. M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields. The desire for impact with a growth-minded and collaborative mindset.
About the company
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
