Software Engineer in ML Systems Graduate (AML - Machine Learning Systems) - 2026 Start (BS/MS)
San Jose, California, United States
USD 118K-187K Entry-level Full Time Found 14d ago
Tasks
- Build large-scale distributed ML training and inference systems
- Collaborate with machine learning engineers for system and algorithm optimization
- Design and optimize online architecture for LLM inference
- Design end-to-end online pipeline systems with multiple models and components
- Ensure system stability, disaster recovery, and cost efficiency
- Maintain system observability and perform continuous delivery
Perks/Benefits
- N/A
Skills/Tech-stack
Code Development | Collaborative Work | Continuous Delivery | Distributed Systems | GPU | High concurrency | NPU | Online pipeline development | Performance optimization | Pipeline Development | RDMA | Storage | System Architecture | Throughput | Troubleshooting
Language: en |
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