Senior Staff Engineer - Production AI & LLM (Remote)

Cohere

España

Híbrido

EUR 90.000 - 130.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Lunch stipend
Health benefits
Parental leave
Enrichment benefits
Learning stipend
Vacation days
Office travel budget
Home office stipend

Descripción de la vacante

Cohere, a leading security-first enterprise AI company, seeks a senior engineer to join our Technical Staff. You will design production-grade software for training foundation models, develop new tooling, and collaborate across infra, research and product teams to advance scalable AI systems.

This hands-on, engineering-driven role emphasizes excellence in both engineering and science, with access to world-class compute resources and data to enable impactful work.

Formación

  • Extremely strong software engineering skills.
  • Proficiency in Python and ML frameworks (JAX, PyTorch, XLA/MLIR).
  • Experience with distributed training (memory/speed profiling).
  • Experience with Kubernetes and Ray frameworks.
  • ML and LLM academic research experience.

Responsabilidades

  • Design and write high-performing, scalable software for training models.
  • Develop tools to support research and LLM training.
  • Coordinate with Infrastructure, Efficiency, Serving and science teams.
  • Research and experiment with ideas on cluster and data infrastructure.
  • Collaborate with scientists, engineers and teams.

Conocimientos

Python
JAX
PyTorch
XLA/MLIR
Distributed training
Kubernetes
Ray
LLM research

Herramientas

Terraform

Descripción del empleo

Cohere, a leading security-first enterprise AI company, seeks a senior engineer to join our Technical Staff. You will design production-grade software for training foundation models, develop new tooling, and collaborate across infra, research and product teams to advance scalable AI systems.

This hands-on, engineering-driven role emphasizes excellence in both engineering and science, with access to world-class compute resources and data to enable impactful work.

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