ML Platform Engineer — Scalable ML Infra (Hybrid)

DoorDash USA; San Francisco (CA); Hybrid; USD 131,000 - 192,000; Full time

Job summary

DoorDash USA is hiring a Software Engineer for the Machine Learning Platform (MDX) in a hybrid setup across San Francisco, Sunnyvale, or Seattle. You will help build and operate a scalable ML infrastructure that powers core services like search, recommendations, and delivery operations.

The role requires CS fundamentals, production ML experience, and cloud infrastructure expertise, with options for equity and a comprehensive benefits package typical for senior engineers.

Qualifications

• Degree in CS or equivalent (B.S./M.S./PhD).
• Strong CS fundamentals and knowledge of OOP languages.
• 2+ years of industry software engineering experience.
• Experience building production ML systems and deploying models.

Responsibilities

• Build a world-class ML platform where models are developed, trained, and deployed seamlessly.
• Collaborate with Data Scientists and Product Engineers to evolve the ML platform for various use cases.
• Develop high-performance, flexible data pipelines to handle evolving technologies and modeling approaches.
• Design infrastructure to store trillions of feature values and power hundreds of billions of predictions daily.
• Shape the direction of a centralized ML platform powering DoorDash’s business.
• Improve reliability, scalability, and observability of training and inference infra.

Skills

CS fundamentals

OOP languages

Python (Pandas)

Education

B.S., M.S., or PhD in CS or equivalent

Tools

PyTorch

TensorFlow

Pandas

Python

Spark

MLFlow

Databricks

Airflow

Dagster

AWS

Job description

DoorDash USA is hiring a Software Engineer for the Machine Learning Platform (MDX) in a hybrid setup across San Francisco, Sunnyvale, or Seattle. You will help build and operate a scalable ML infrastructure that powers core services like search, recommendations, and delivery operations.

The role requires CS fundamentals, production ML experience, and cloud infrastructure expertise, with options for equity and a comprehensive benefits package typical for senior engineers.