[ 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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