• B.S., M.S. in Computer Science or related disciplines with graduation date between Spring 2022 and December 2023
• At least 2 previous Software Engineering, Machine Learning internships, or equivalent work experience, with no more than 2 years of full-time work experience
• Demonstrated expertise with programming languages, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc
• Understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Deep Learning, Causal Inference, Ranking, Computer vision, NLP, Operations Research, Forecasting and Experimentation
• Experience of shipping production-grade ML models and optimization systems, and designing experimentation techniques
• You’re an owner — driven, focused, and quick to take ownership of your work
• Humble — you’re willing to jump in and you’re open to feedback
• Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
• Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Desirable

• We are looking for highly motivated recent college graduates at DoorDash and as a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and ML models that impact millions of users across our three audiences and tackle our most challenging business problems
• You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers
• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Build statistical and ML models that run in production to help enhance the consumer experience by reducing cancellations, pickup waiting times, delivery lateness, missing and incorrect items and non fulfilled orders. Build recommendation systems, and implement new AI solutions to expand restaurant selection and drive their growth
• Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance
• Being exposed to new opportunities where delivery quality can be used as a lever for demand shaping, search ranking, customer segmentation, etc
• Mentor and uplevel a talented team of ML Engineers