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AI Solutions Developer

2 months ago

Seattle, Washington, United States DoorDash Full time

About the Role

We're seeking a skilled Machine Learning Engineer to drive business growth through innovative AI solutions at DoorDash. As a key member of our team, you will leverage our robust data infrastructure to build and implement machine learning models that enhance our recommendation systems and drive merchant growth.

Key Responsibilities

  • Design, develop, and deploy production-level machine learning solutions that power multiple teams, including Sales Operations, Product, and Marketing.
  • Collaborate with engineering and product leaders to shape the product roadmap and leverage AI/ML to drive business growth.
  • Own the machine learning life cycle, from feature creation to model development, deployment, experimentation, monitoring, and explainability, as well as model maintenance.
  • Explore new ways to utilize diverse data sources and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution, to provide a world-class merchant experience.

Requirements

  • 1+ years of industry experience post-PhD or 3+ years of industry experience post-graduate degree in developing machine learning models with business impact.
  • Expertise in applied ML for Causal Inference and Recommendation Systems, including classical and deep learning-based approaches.
  • Familiarity with experimentation, computer vision, and Large Language Models (LLMs).
  • M.S. or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
  • Ability to communicate technical details to non-technical stakeholders.
  • Strong machine learning background in Python, with experience in Spark, PyTorch, or TensorFlow preferred.
  • Familiarity with Kotlin/Scala.
  • A growth-minded and collaborative mindset, with a focus on delivering business impact.

About DoorDash

DoorDash is a leading food delivery and logistics company that connects consumers with their favorite restaurants and stores. We're committed to delivering exceptional customer experiences and driving growth through innovative technology and data-driven insights.