Machine Learning Engineer

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to join the Forecasting Platform team at DoorDash. This role offers a unique opportunity to have a broad impact on the business, ensuring we can quickly respond to a rapidly changing operational environment.

As a Machine Learning Engineer, you will:

• Leverage robust data and ML infrastructure to develop models impacting millions of users
• Build time-dependent statistical and ML models solving product needs across verticals
• Own the modeling lifecycle end-to-end, from feature creation to model maintenance
• Contribute to the in-house Forecasting Self-Service Platform and Forecasting Repository
• Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)

We're looking for someone who is:

• High-energy, confident, and mission-driven
• An owner who takes initiative and ownership of their work
• Humble and open to feedback
• Adaptable and resilient in ambiguous situations
• Growth-minded and eager to expand their skill set
• Driven by a desire for impact and collaborative work

Experience required:

• M.S. and 3+ or PhD. and 1+ year(s) experience developing advanced statistical and ML models in production
• Expertise in object-oriented programming and ML Libraries (e.g., Python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow)
• Deep understanding of complex systems like Marketplaces
• Experience shipping production-grade ML models and optimization systems

Join DoorDash and be part of a company committed to empowering local economies and fostering diversity and inclusion in the workplace.