Software Engineer, Machine Learning Infrastructure
DoorDash(3 hours ago)
About this role
DoorDash is seeking a software engineer to help build and scale its GenAI platform, which supports various AI use cases across the company. The role involves working on infrastructure for AI models, pipelines, and services to enable efficient deployment and operation of Generative AI technologies.
Required Skills
- Python
- APIs
- Distributed Systems
- Cloud Computing
- ML Infrastructure
- Model Deployment
- Data Pipelines
- Backend Engineering
- Scalability
- Monitoring
Qualifications
- BS in Computer Science or related field
- 2+ years industry experience
- Experience with ML in production
- Cloud service experience (AWS or GCP)
About DoorDash
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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