Member of Technical Staff - Agent Code

Cohere

107d

About The Position

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

Requirements

• 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.
• 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.

Responsibilities

• 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.
• Collaborate 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.

Benefits

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research.
• Weekly lunch stipend, in-office lunches & snacks.
• Full health and dental benefits, including a separate budget to take care of your mental health.
• 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK.
• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement.
• Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend.
• 6 weeks of vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees