Staff Machine Learning Engineer

1 month ago


Sunnyvale, California, United States DoorDash Full time

About the Role

We're seeking a seasoned Applied Machine Learning expert to lead the development of a cutting-edge AI/ML service for DoorDash. This role involves utilizing our robust data and machine learning infrastructure to create accurate tax categorization for billions of restaurants and non-restaurants items. You will be expected to lead and build a production-level AI/ML solution, collaborate cross-functionally, and push the boundaries of LLM capabilities.

You're excited about this opportunity because you will...

  • Design and develop ML-driven tax catalog solutions, leveraging Generative AI to efficiently manage and organize tax categorization information.
  • Lead the development of ML products to solve large-scale categorization problems at transaction level for DoorDash.
  • Collaborate with engineering and product leaders to shape the product roadmap leveraging AI/ML.
  • Own the modeling life cycle, including feature creation, model development and deployment, experimentation, monitoring, and explainability.
  • Explore new opportunities where AI/ML can be used to benefit new business, new markets, and new regions.

We're excited about you because you have...

  • 6+ years of industry experience leading and developing advanced machine learning models with business impact.
  • Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models.
  • M.S., or PhD. in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields.
  • Ability to communicate technical details to nontechnical stakeholders.
  • Strong machine learning background in Python; experience with Spark, PyTorch, or TensorFlow preferred.
  • Familiarity with Kotlin/Scala.
  • A growth-minded and collaborative mindset.


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