В Cohere предстоит развивать инфраструктуру в основе AI-платформы, а обязанности и льготы описаны чётко; главный компромисс - оплачиваемое дежурство в круглосуточной ротации.
Дежурства 24/7
Современный стек
Инфраструктура для AI
Сильный пакет льгот
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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