Research Scientist Intern (AI Infrastructure)- 2026 Start (PhD)
San Jose, California, United States
USD 156K-316K (estimate) Entry-level Internship
Tasks
- Auto scale training and serving
- Build distributed deployment and orchestration systems
- Collaborate with ML researchers on production systems
- Design scalable AI infrastructure
- Develop telemetry and benchmarking frameworks
- Implement ETL and data ingestion pipelines
- Implement containerized architectures
- Improve fault tolerance and high availability
- Integrate experiment management and workflow orchestration
- Mentor engineers on performance tuning and systems design
- Optimize ML stack performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Spark | Artificial Intelligence | Benchmarking | Compute Clusters | Dask | Data Ingestion | Distributed Systems | Docker | ETL | Fault Tolerance | Flume | GPU Computing | GPU scheduling | High Availability | Infrastructure Design | Kubeflow | Kubernetes | ML Compiler | Machine Learning | Metaflow | NCCL | Networking | RDMA | Resource Management | Scalable systems | TPU | TPU Scheduling | Telemetry | Workflow Orchestration
Education
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Countries
States
Cities
Language: en
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