Назад
5 дней назад

Member of Technical Staff, ML Workload Platform (AI)

300 000 - 420 000CAD
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US/Canada
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
Member of Technical Staff, ML Workload Platform (AI): Building the platform that schedules and runs training, evaluation, and reinforcement-learning workloads with an accent on Kubernetes scheduling, workload networking, runtime isolation, and checkpoint storage. Focus on distributed-systems reliability, production troubleshooting, observability, and maintaining infrastructure for foundation-model workloads.

Location: Remote in Canada or the United States

Salary: Canada CA$300K–CA$420K plus equity; United States $235K–$335K plus equity.

Company

Cohere is an enterprise AI company building foundation models and end-to-end products for business applications.

What you will do

  • Own the Kubernetes platform that schedules and runs training, evaluation, and reinforcement-learning jobs, including capacity allocation, failure handling, and platform diagnostics.
  • Build networking and runtime isolation for workloads, including agent and sandbox environments.
  • Collaborate with data infrastructure engineers on storage for checkpoints and training artifacts.
  • Troubleshoot production failures and performance issues while improving operability.
  • Build automation, infrastructure-as-code, and observability for a maintainable platform.
  • Participate in a compensated 24x7 on-call rotation.

Requirements

  • Production experience running a job platform, batch system, or Kubernetes controllers, including scheduling, queues, and multi-tenant fairness.
  • Demonstrated distributed-systems judgment involving retries, partial failure, and automation trade-offs.
  • Experience with ML training workflows, RL sandboxes, container networking, or checkpoint storage at scale.
  • Software development experience in Python or Go and a preference for extending established open-source projects.
  • Experience collaborating with researchers, ML engineers, or teams with differing goals.
  • Experience identifying bottlenecks, proposing fixes, and driving implementation in a fast-moving environment.

Nice to have

  • Direct GPU-cluster experience.

Culture & Benefits

  • Remote-friendly work with access to offices and co-working benefits.
  • Compensated 24x7 on-call rotation.
  • Health and dental benefits, mental-health budget, retirement or pension matching, and up to six months of fully topped-up parental leave.
  • Six weeks of paid vacation, annual enrichment benefits, and education and learning support.
  • Home-office stipend, lunch stipend, office-travel budget for remote employees, and an annual company offsite.

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