[ engineering ]
Ml Model Serving Engineer
Sesame- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Sesame. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Model Serving Engineer at Sesame focused on optimizing the serving layer for LLM, speech, and vision models. Responsibilities include partnering with ML infrastructure teams to build a fast, cost-effective, and reliable serving layer, and modifying LLM serving frameworks like VLLM and SGLang.
Skills and focus areas
- differentiable array computing
- pytorch
- machine learning model optimization
- high throughput serving
- low latency inference
- systems programming
- high-performance server systems
- performance engineering
- bottleneck analysis
- profiling low-level systems code
- model serving optimization
Summary written by Ramai from the original posting. Full details and requirements are on Sesame’s careers page.
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