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6 часов назад

Platform Engineer (AI)

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
Platform Engineer (AI): Building and operating the serving infrastructure that turns frontier biochemical models into reliable products, with an accent on latency, throughput, GPU efficiency, batching, and autoscaling. Focus on optimizing model inference, scaling distributed ML systems across a multi-cloud GPU fleet, and building observability and experiment tooling for researchers and product engineers.

Location: San Francisco office; on-site

Company

hirify.global builds AI-powered molecular design software and frontier models for biochemical structure, interaction, and drug discovery.

What you will do

  • Own the model-serving stack, improving latency, throughput, GPU efficiency, batching, and autoscaling.
  • Operate serving infrastructure across a large multi-cloud GPU fleet.
  • Build software abstractions and pipelines that turn raw models into product-ready systems.
  • Develop experiment, observability, alerting, and incident-response tooling for research and production systems.
  • Collaborate with model researchers, product engineers, and commercial teams deploying systems to pharmaceutical companies.

Requirements

  • 4+ years of experience building production systems, with depth in performance, distributed systems, or ML serving.
  • Experience optimizing model inference through GPU utilization, batching, quantization, caching, or kernel-level work.
  • Experience owning 24/7 production systems, including observability, alerting, and incident response.
  • Experience with both initial 0-to-1 buildouts and scaling systems from 1 to many.
  • Strong systems judgment, ownership, technical excellence, and attention to cost and efficiency.

Culture & Benefits

  • Work at the intersection of AI research, frontier biology, and drug discovery.
  • High-velocity culture focused on ownership and solving difficult technical problems.
  • Competitive compensation aligned with the scope and impact of the work.
  • Background in biology is not required.

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