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ML Platform Engineer

United States - Remote R

USD 100K-150K Senior-level Full Time

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Found 1d ago
Tasks
Perks/Benefits
Skills/Tech-stack

API Gateway | Abuse detection | Automated rollback | Autoscaling | Batching | C++ | Caching | Canary Releases | Capacity Planning | Content Filtering | Continuous batching | Distributed Systems | GPU Utilization | Go | Incident Response | KV cache | Kubernetes | LLM Inference | Memory Management | Metrics | Observability | Performance Engineering | Prompt Deduplication | Python | Quality of Service | Rate Limiting | Request Multiplexing | Request Signing | Rust | Security | Shadow testing | Speculative decoding | Structured Logging | TensorRT-LLM | Tracing | VLLM

Education

Bachelor of Science | Master of Science

Roles

Engineer | ML Platform Engineer | Platform Engineer

Regions

North America

Countries

United States

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