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59 matches
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Sesame

ML Model Serving Engineer

today
Sesame · San Francisco, CA
$175k–280kOn-siteFull-timePyTorch · vLLM
Liquid AI

Member of Technical Staff - Post Training, Applied

today
Liquid AI · San Francisco, CA
HybridFull-timePyTorch · Hugging Face
FriendliAI

Director of Product

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FriendliAI · San Francisco, CA
On-siteFull-timevLLM · TensorRT-LLM
Cartesia

Inference Engineer

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Cartesia · San Francisco, CA
$180k–250kOn-siteFull-timeCUDA · Triton
Cantina

Machine Learning Engineer, Ops

today
Cantina · Europe; United States
RemoteFull-timeKubernetes · PyTorch
Periodic Labs

ML Systems Engineer

today
Periodic Labs · Menlo Park, CA
$250k–350kOn-siteFull-timeMegatron-LM · SGLang
Inferact

Engineering Manager

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timevLLM · SGLang
Inferact

Inference Engineering, Co-op

today
Inferact · San Francisco, CA
On-siteFull-timePython · C++
Inferact

Member of Technical Staff, Inference

today
Inferact · Remote
RemoteFull-timePython · PyTorch
Inferact

Member of Technical Staff, Forward Deployed Engineer

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timePython · Go
Inferact

Member of Technical Staff, Inference

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timePython · PyTorch
Inferact

Member of Technical Staff, Developer Relations

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timevLLM · SGLang
Outset

Research Engineer

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Outset · San Francisco, CA
$200k–240kHybridFull-timePython · SQL
Reducto

Machine Learning Infrastructure Tech Lead

today
Reducto · San Francisco, CA
$200k–325kOn-siteFull-timePython · CUDA
Designworks Talent

Staff Inference Engineer

today
Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
Designworks Talent

Applied Researcher – AI Expert

today
Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
Designworks Talent

Senior Inference Engineer

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Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
d-Matrix

Senior Staff Inference Performance Engineer

today
d-Matrix · Santa Clara, CA
$175k–265kHybridFull-timeKubernetes · Python
d-Matrix

Senior Staff LLM Inference Engineer

today
d-Matrix · Santa Clara, CA
$195k–285kOn-siteFull-timePython · C++
d-Matrix

Principal System Software Engineer, AI Inference Execution

today
d-Matrix · Santa Clara, CA
$195k–285kHybridFull-timeC++ · Python
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Sesame

ML Model Serving Engineer

Sesame · 🇺🇸 San Francisco, CA · posted today
ApplyFull posting

Extracted from the posting

Base
$175,000 – $280,000
Remote
On-site
Stack
PyTorch, vLLM, SGLang, Kubernetes

TL;DR

Build and optimize the serving layer for LLM, speech, and vision models, extending frameworks like vLLM and SGLang with batching, caching, and custom kernels. Requires PyTorch expertise and systems performance engineering. Compensation is $175K - $280K.

About Sesame →

The full posting

About Sesame

Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.


Responsibilities:

  • 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.
  • Modify and extend LLM serving frameworks like VLLM and SGLang to take advantage of the latest techniques in high-performance model serving.
  • Work with the training team to identify opportunities to produce faster models without sacrificing quality.
  • Use techniques like in-flight batching, caching, and custom kernels to speed up inference.
  • Find ways to reduce model initialization times without sacrificing quality.

Required Qualifications:

  • 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.


Preferred Qualifications:

  • Familiarity with high-performance LLM serving; ex. experience with VLLM, SGlang deployment, and internals.
  • Experience with a public cloud platform such as GCP, AWS, or Azure.
  • Experience deploying and scaling inference workloads in the cloud using Kubernetes, Ray, etc.
  • You like to ship and have a track record of leading complex multi-month projects without assistance.
  • You’re excited to learn new things and work in a multitude of roles.


Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact [email protected] for assistance.


Full-time Employee Benefits: 

  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.

Compensation: $175K - $280K