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5 часов назад

Inference Researcher (AI)

150 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Inference Researcher (AI): Conduct hands-on inference research for LLM serving stack improvements including speculative decoding, quantization, autoscaling, and memory management. Focus on shipping research-driven systems, collaborating with customers and external labs, and turning research into production-grade serving products.

Location

Location: Must be able to work in-person in New York or San Francisco offices

Company

hirify.global is an AI infrastructure startup building a platform for the full lifecycle of large language models, including training, deployment, and inference, serving category-defining customers and backed by a $4.65B valuation.

What you will do

  • Own end-to-end inference research projects such as speculative decoding, quantization (FP8, INT4), KV-cache and memory management, and autoscaling for serverless traffic.
  • Train custom speculators on real production traffic and evaluate improvements using acceptance length metrics.
  • Collaborate directly with customers and Forward Deployed Engineers to deploy and tune models.
  • Maintain and expand collaborations with external research labs on advanced inference techniques.
  • Work with engineering teams to convert research innovations into production serving products and primitives.
  • Help shape the research agenda by independently driving research bets from idea to result.

Requirements

  • Ability to work onsite in New York or San Francisco
  • Research or systems background in LLM inference with demonstrable work.
  • Fluency in LLM serving stack components including kernels, quantization, schedulers, and autoscaling.
  • Proven track record of shipping research or systems used by others in lab or industry.
  • Self-driven to take research projects from concept to outcome in an open team environment.

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