Staff Software Engineer, Machine Learning Infrastructure

At DoorDash, we're building the world's most reliable on-demand logistics engine for delivery. We're seeking talented engineers to create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

As a Staff Software Engineer in Machine Learning Infrastructure, you'll join a small team to build systems that empower efficient machine learning at scale. You'll work closely with Data Scientists and Product Engineers to evolve the ML platform, build high-performance and flexible pipelines, and design infrastructure solutions to store trillions of feature values and power hundreds of billions of predictions daily.

Key Responsibilities: • Build a world-class ML platform for seamless model development, training, and deployment • Design and drive directions for the centralized machine learning platform powering all of DoorDash's business • Improve the reliability, scalability, and observability of our training and inference infrastructure • Work on infrastructure designs to handle new technologies, techniques, and modeling approaches

Requirements: • B.S., M.S., or Ph.D. in Computer Science or equivalent • 6+ years of industry experience in software engineering • Strong knowledge of CS fundamentals and OOP languages • Experience building machine learning systems in production and enabling data analytics at scale • Hands-on experience developing and deploying machine learning models • Systems engineering experience, particularly in cloud computing environments

Nice-to-Have Skills: • Experience with real-time computing challenges • Familiarity with large-scale distributed systems, data processing pipelines, and ML infrastructure • Knowledge of Python ML libraries, deep learning frameworks (PyTorch, TensorFlow) • Experience with Spark, MLLib, Databricks, MLFlow, Apache Airflow, Dagster • Familiarity with large language models and Transformer-based architectures • Experience with cloud environments like AWS

This role offers a competitive salary range of $171,600 - $252,400 USD, along with opportunities for equity grants and comprehensive benefits. Join us in empowering local economies and building the future of on-demand delivery!