Member of Technical Staff, Agent Code

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

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 you have:

• 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, but have actively contributed to their development
• 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.
• A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems.

What We Offer:

• The opportunity to work on cutting-edge problems at the intersection of AI, code generation, and autonomous agents.
• Access to world-class compute resources, data, and a collaborative team of researchers and engineers.
• A remote-friendly, flexible work environment with a focus on impact and innovation.
• Competitive compensation and benefits, including equity in a fast-growing AI company.

If you’re passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, we’d love to hear from you!

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!