Machine Learning Software Engineer

Advance model post-training with Python and large-scale distributed training at Cohere, working remotely or from listed offices. Ship frontier models into production.

As a Member of Technical Staff, you will bridge research and production while advancing model post-training. You will write production software, support research, and collaborate across specialist teams. The work spans SFT, RL, supercompute, and data infrastructure.

Key Responsibilities:

• Design scalable software for model training
• Post-train models toward state-of-the-art performance
• Coordinate with Agentic and Code specialist teams
• Improve SFT and RL training cycles
• Experiment on supercompute and data infrastructure

Requirements:

• Extremely strong software engineering skills
• Proficiency in Python, JAX, PyTorch, and XLA/MLIR
• Experience with Kubernetes, Slurm, and Ray
• Experience using large-scale distributed training strategies
• Hands-on experience training large models at scale

Build production machine learning systems while optimizing post-training performance across Cohere’s research and engineering efforts.