Staff Machine Learning Engineer, Fulfillment Planning
DoorDash USA · San Francisco, CA; Sunnyvale, CA · All 428 DoorDash USA jobs
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Typical pay for this role in San Francisco
The median advertised range for a machine learning engineer in San Francisco is $195,000 to $285,982, from 97 adverts that state a yearly pay. This job, at $203,500 to $299,300, sits inside that range.
Median of the advertised lower and upper figures, not a promise of what is paid.
Required skills
- Machine Learning
- Supply Chain
Nice to have
- Data Science
- LLMs
- Python
- Deep Learning
- Mental Health
About the job
About the Team The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability. Our mission is to improve fulfillment quality while reducing fulfillment cost.
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You apply on the employer's site.
Source: DoorDash USA's careers site
Adverts belong to the employers' own sites.