Machine Learning Engineer, Marketplace Optimization
DoorDash Mexico(4 days ago)
About this role
A Machine Learning Engineer on DoorDash’s Marketplace Optimization team will design, build, and scale large-scale ML systems that power the Ads Delivery funnel across bidding, auction design, budget pacing, forecasting, and experimentation. The role focuses on applying ML and deep learning techniques to optimize marketplace efficiency, fairness, and scalability as DoorDash expands into new verticals.
Required Skills
- Machine Learning
- Deep Learning
- Python
- Java
- C++
- TensorFlow
- PyTorch
- XGBoost
- Data Pipelines
- Experimentation
+3 more
Qualifications
- B.S./M.S./Ph.D. in Computer Science, Machine Learning, Statistics or Related Field
About DoorDash Mexico
careersatdoordash.comNew Relic is a SaaS observability platform that helps developers and operators monitor, troubleshoot, and optimize applications, infrastructure, and end‑user experience in real time. It provides application performance monitoring (APM), infrastructure and container monitoring, logs, distributed tracing, synthetics/real‑user monitoring, dashboards, alerting, and analytics (NRQL) through a unified UI and APIs. With broad integrations, OpenTelemetry support, and usage‑based telemetry ingestion, New Relic is designed for full‑stack visibility and faster incident response across cloud‑native and legacy environments.
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