Research Scientist Intern (AI Infrastructure)- 2026 Start (PhD)
Seattle, Washington, United States
USD 156K-316K (estimate) Entry-level Internship
Tasks
- Architect ETL and data ingestion pipelines
- Auto scale workloads across data centers
- Build distributed deployment and orchestration systems
- Design scalable AI infrastructure
- Develop telemetry and benchmarking frameworks
- Implement containerized architectures
- Implement workflow orchestration for research to production
- Improve fault tolerance and high availability
- Integrate experiment management tools
- Mentor engineers on performance tuning and reliability engineering
- Profile and optimize ML stack
- Translate prototype requirements into production systems
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Flume | Apache Spark | Benchmarking | Dask | Data Engineering | Distributed Systems | Docker | ETL | Fault Tolerance | GPU scheduling | High Availability | Kubeflow | Kubernetes | ML Compiler | Machine Learning | Metaflow | NCCL | Performance optimization | RDMA | TPU Scheduling | Telemetry
Education
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