Member of Technical Staff, Next Generation Agents

Who are we?

Our mission at Cohere is to scale intelligence to serve humanity. We are dedicated to training and deploying frontier models for developers and enterprises to build AI systems that power innovative experiences such as content generation, semantic search, RAG, and intelligent agents. We believe our work is crucial for the widespread adoption of AI.

We are passionate about what we create, with each team member contributing to enhancing our models' capabilities and the value they deliver to our customers. We thrive in a fast-paced environment, working diligently to achieve the best outcomes for our customers.

Cohere is comprised of researchers, engineers, designers, and other professionals who are experts in their fields. We foster a diverse range of perspectives, recognizing it as essential for developing exceptional products.

Join us to help shape the future of AI!

Why this role?

Agentic LLM systems are rapidly being adopted by enterprise companies, including through Cohere’s North platform. The Next Generation Agents team is at the forefront, exploring advanced modeling techniques to significantly improve agent capabilities, encompassing areas like deep-research, learning-from-experience, continual learning, and memory. Our approach is driven by empirical research to develop robust production solutions. Much of our work involves moving beyond the current state-of-the-art to deliver tangible value to our customers.

As a key member of this team, you will drive the exploration and development of cutting-edge agentic techniques. You will have the opportunity to build the foundational models that power our agentic solutions, including developing advanced data-generation techniques for post-training (SFT and RL*) Cohere’s models.

Please Note: While Cohere has offices in London, Paris, Toronto, San Francisco, and New York, we are a remote-friendly organization! This specific team operates primarily between ET to CET time zones, so we are seeking candidates in locations that support effective collaboration within these hours.

As a Member of Technical Staff, Next Generation Agents you will:

• Design and develop novel agentic solutions.
• Improve upon State-of-the-Art (SOTA) on challenging agentic tasks.
• Research the next-generation of on-line learning-from-experience self-improvement.
• Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic systems.
• Collaborate with an amazing team of researchers and engineers pushing the boundaries of AI.

You May Be a Good Fit If You Have:

• Strong software engineering skills.
• Proficiency in Python and experience with ML-related code (e.g., PyTorch, NumPy, etc.).
• Experience with LLMs and agentic frameworks.
• Experience with post-training LLMs (SFT, PEFT, or RL*).
• Experience with building synthetic data generation pipelines.

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

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees At Cohere Enjoy These 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 to take care of your mental health.
• 🐣 100% Parental Leave top-up for up to 6 months.
• 🎨 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 (30 working days!).

Key skills/competency

• Agentic AI
• Large Language Models (LLMs)
• Machine Learning Research
• Python Programming
• PyTorch
• Natural Language Processing (NLP)
• Deep Learning
• Reinforcement Learning (RL)
• Synthetic Data Generation
• Software Engineering