Senior ML Infrastructure Lead — Model Serving

Cohere

United States

Hybrid

USD 210,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Lunch stipend
Health and dental benefits
RRSP matching/401K
Parental leave top-up
Vacation 6 weeks
Travel to other offices / offsite
Home office stipend

Job summary

Cohere is seeking a Lead Member of Technical Staff to join the Model Serving team. You will provide technical leadership across multiple teams, shape deployment of optimized NLP models to production with low latency and high throughput, and mentor engineers to raise the technical bar.

You will lead architecture decisions for scalable, distributed Linux-based compute environments, manage resource optimization, and collaborate with customers to meet deployment needs across multi-cloud and on-prem

Qualifications

  • 8+ years of engineering experience leading production infrastructure at scale.
  • Experience leading architecture and design of large, highly available distributed systems.
  • Strong Kubernetes development and production practices.
  • Extensive multi-cloud experience (GCP, AWS, Azure, OCI) and on-prem/hybrid environments.
  • Proven ability to design, deploy, and troubleshoot complex Linux-based compute environments.
  • Experience with cost/resource management at an organizational level.

Responsibilities

  • Lead the architecture and direction for deploying optimized NLP models to production.
  • Provide technical leadership across multiple teams and mentor engineers.
  • Define standards, reviews, and best practices for high-performance, scalable servers.
  • Collaborate with customers to design customized deployments meeting specific needs.
  • Drive latency and throughput improvements across GPU-accelerated workloads.
  • Represent Cohere in cross-functional initiatives to build mission-critical systems.

Skills

Kubernetes
Distributed systems
Golang/C++
GPU workloads
Multi-cloud infra
Leadership
Linux

Tools

Terraform

Job description

Cohere is seeking a Lead Member of Technical Staff to join the Model Serving team. You will provide technical leadership across multiple teams, shape deployment of optimized NLP models to production with low latency and high throughput, and mentor engineers to raise the technical bar.

You will lead architecture decisions for scalable, distributed Linux-based compute environments, manage resource optimization, and collaborate with customers to meet deployment needs across multi-cloud and on-prem

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