Software Engineer, ML Infrastructure (MDX)
DoorDash USA · San Francisco, CA; Sunnyvale, CA; Seattle, WA · All 428 DoorDash USA jobs
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Typical pay for this role in San Francisco
The median advertised range for a software engineer in San Francisco is $180,000 to $250,000, from 824 adverts that state a yearly pay. This job, at $130,600 to $192,000, sits below the bottom of that range.
Median of the advertised lower and upper figures, not a promise of what is paid.
Required skills
- Leadership
- Python
Nice to have
- Machine Learning
- Observability
- Etl
- A/B testing
- LLMs
- Airflow
- Kubernetes
- AWS
- GCP
- Mental Health
- Supply Chain
About the job
About the Team DoorDash's MDX team sits within Machine Learning Platform and builds the shared foundation that ML engineers across DoorDash, Wolt, and Deliveroo rely on to build and run ML-powered products. We work across the full ML lifecycle: feature engineering, training, evaluation, deployment, serving, and monitoring. Our mission is to increase the velocity and reliability of ML-driven business impact across the company.
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Source: DoorDash USA's careers site
Adverts belong to the employers' own sites.