Staff Machine Learning Engineer
1 month ago
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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