# ML Model Serving Engineer at Sesame

- Company: Sesame
- What the company does: Book same-day care with board-certified providers, specialists, labs & more - at half the price. No waiting rooms. No surprise bills. No insurance needed. Backed by General Catalyst, a16z and GV.
- Company website: https://sesamecare.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $175K to $280K base salary per year (USD)
- Posted: 2026-11-03
- Apply by: 2026-12-18
- Apply: https://jobs.ashbyhq.com/sesame/35793528-2b5c-47b3-9422-eaced2b69f63?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/sesame-ml-model-serving-engineer/

## About the role

Turbocharge our serving layer, consisting of a variety of LLM, speech, and vision models. Partner with ML infrastructure and training engineers to build a fast, cost-effective, accurate, and reliable serving layer to power a new consumer product category. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Expert in some differentiable array computing framework, preferably PyTorch
- Expert in optimizing machine learning models for serving reliably at high throughput, with low latency
- Significant systems programming experience, ex. Experience working on high-performance server systems—you’d be just as comfortable with the internals of VLLM as you would with a complex PyTorch codebase
- Significant performance engineering experience, ex. Bottleneck analysis in high-scale server systems or profiling low-level systems code
- Always up to date on the latest techniques for model serving optimization
- Familiarity with high-performance LLM serving, ex. experience with VLLM, SGlang deployment, and internals

Tags: Software

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/sesame-ml-model-serving-engineer/