Member of Technical Staff, Agent Code

Job summary

Responsibilities

Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team.

• Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems.
• Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling.
• Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
• Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.

What they're looking for

• A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
• Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models…
• Hands-on experience with frontier LLMs and their applications in code generation or automation.
• Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks.
• Experience with distributed systems, cloud infrastructure, and scalable architectures.

Tech stack

• Python
• PyTorch
• TensorFlow