Staff Machine Learning Engineer

2 months ago


Sunnyvale, United States DoorDash Full time

About the Role

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.

You can find out more on our ML blog

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 modelsM.S., or PhD. in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields.Ability to communicate technical details to nontechnical stakeholdersStrong 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 downThe desire for impact with a growth-minded and collaborative mindset

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