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
- Build distributed orchestration and deployment systems
- Design scalable AI infrastructure
- Develop telemetry and benchmarking frameworks
- Implement autoscaling across data centers
- Implement containerized architectures
- Implement fault tolerance and high availability
- Integrate experiment management and workflow orchestration
- Mentor engineers on performance tuning and reliability engineering
- Profile and optimize ML training and inference
- Translate prototype requirements into production systems
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Beam | Apache Flume | Artificial Intelligence | Autoscaling | Benchmarking | Compute Clusters | Dask | Data Ingestion | Data Preprocessing | Distributed Serving | Distributed Training | ETL | Experiment Management | Fault Tolerance | GPU scheduling | High Availability | Kubeflow | Kubernetes | ML Compiler | Machine Learning | Metaflow | NCCL | Networking | Profiling | RDMA | Resource Management | Spark | Storage Systems | TPU Scheduling | Telemetry | Unikernels | Virtualization | Workflow Orchestration | Workload placement
Education
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