Member of Technical Staff, Agent Code

Cohere; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Cohere is seeking a senior member for the Agent Code team to advance code LLMs and agent systems, collaborating across research and engineering. You will push the boundaries of frontier models in an enterprise context with minimal human oversight.

The role blends hands-on development and research, with access to world-class compute and data resources. Offices exist globally, and remote-friendly collaboration is supported.

Qualifications

• PhD in Computer Science, Machine Learning, or related field with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Responsibilities

• Stay up-to-date with code LLMs, agents, and related fields; implement novel ideas into systems.
• Design scalable strategies to train code models and deploy agent frameworks.
• Collaborate with pretraining team to create SFT trajectories and RL algorithms.
• Hillclimb on benchmarks and design new ones reflecting enterprise needs.
• Lead experiments on state-of-the-art compute infrastructure for frontier LLMs.

Skills

Code LLMs

Agent systems

Frontier models

Education

PhD in Computer Science/ML

Job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

Why this role?

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. You'll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You'll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we're also remote-friendly! This team operates primarily between ET to CET time zones, so we're seeking candidates in locations that align with these hours for effective collaboration.

As a Member of Technical Staff on the Agent Code team, you will:

• 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.
• You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms.
• 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.

You may be a good fit if:

• 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