Member of Technical Staff, Agent Code

Cohere Cohere · AI Frontier · London, United Kingdom · Modeling

Cohere is seeking a Member of Technical Staff for their Agent Code team to research and develop cutting-edge code LLMs and agent systems for enterprises. The role involves designing and implementing training strategies, deploying agent frameworks, and leading experiments on frontier models, with a strong emphasis on both research and engineering.

What you'd actually do

  1. Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems.
  2. Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms
  3. Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
  4. Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.

Skills

Required

  • PhD in Computer Science, Machine Learning, or a related field
  • Deep expertise in code LLMs and agent systems
  • Hands-on experience with frontier LLMs and their applications in code generation or automation
  • Strong software engineering skills
  • Proficiency in Python and PyTorch, TensorFlow, or similar frameworks
  • Experience with distributed systems, cloud infrastructure, and scalable architectures

Nice to have

  • publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)

What the JD emphasized

  • publications in top-tier venues
  • actively contributed to their development
  • frontier LLMs

Other signals

  • code LLMs
  • autonomous agents
  • enterprise AI systems