Doordashusa is seeking a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that enhance real-time decision-making across DoorDash's fulfillment ecosystem. This role will involve owning ML systems for logistics optimization and working closely with cross-functional teams to drive cost-effective solutions.
The ideal candidate will have over 8 years of experience in building and deploying ML systems and be fluent in Python. The position offers the opportunity to influence architectural frameworks and mentoring within a collaborative environment.
#J-18808-LjbffrStaff ML Engineer: Real-Time Fulfillment & Planning in san francisco at Unknown Company
This position is listed as full time and onsite.