Member of Technical Staff, Agent Code

About Cohere

Our mission at Cohere is to scale intelligence to serve humanity. We train and deploy frontier models for developers and enterprises, enabling them to build AI systems that power innovative experiences like content generation, semantic search, RAG, and intelligent agents. We believe our work is crucial for the widespread adoption of AI.

We are a team that obsesses over what we build, with each member responsible for enhancing model capabilities and customer value. We embrace a fast-paced work environment, always striving to deliver the best for our customers. Cohere is comprised of world-class researchers, engineers, designers, and passionate professionals who believe in the power of diverse perspectives to build great products. Join us in shaping the future of AI!

The Role: Member of Technical Staff, Agent Code

Code-generating LLMs and autonomous agents are transforming software development and task automation. As a Member of Technical Staff on the Agent Code team at Cohere, you will be at the forefront of research and engineering, pushing the boundaries of these technologies for enterprises. This senior role involves developing cutting-edge code LLMs and agent systems capable of interacting with the digital world to solve complex tasks with minimal human oversight.

This is a hands-on, research-driven position. You will delve into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a talented team of engineers and researchers. Your work will involve building scalable, production-ready solutions, blending engineering and research seamlessly. We provide access to world-class compute resources, data, and talent to empower you to do your best work.

Cohere is remote-friendly with offices in London, Toronto, New York, and San Francisco. This particular team primarily operates between ET and CET time zones, so we are seeking candidates in locations aligned with these hours for effective collaboration.

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 to 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.

Qualifications

• 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, and active contributions 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

• 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 focused on impact and innovation.
• Competitive compensation and benefits, including equity in a fast-growing AI company.

Cohere Employee Perks

• 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 for mental health.
• 100% Parental Leave top-up for up to 6 months.
• Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement.
• Remote-flexible, with offices in Toronto, New York, San Francisco, London and Paris, and a co-working stipend.
• 6 weeks of vacation (30 working days!).

Key Skills/Competency

• Code LLMs
• Agent Systems
• Machine Learning Research
• Deep Learning
• Python Programming
• PyTorch/TensorFlow
• Distributed Systems
• Cloud Infrastructure
• Scalable Architectures
• Natural Language Processing (NLP)