Member of Technical Staff, Next Generation Agents

Rozgoo; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Open and inclusive culture

Cutting-edge AI research collaboration

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up for up to 6

Personal enrichment benefits for arts,

Remote-flexible, co-working stipend

Job summary

Cohere is building frontier AI systems and agentic solutions for enterprises and developers. This role focuses on designing novel agentic techniques, improving state-of-the-art performance, and researching online learning-from-experience methods.

You will collaborate with Reasoning, Post-training, and Pre-training teams to push capabilities further while supporting a fast-paced, inclusive work environment across remote-friendly offices.

Qualifications

• Experience with Python and ML codebases.
• Familiarity with LLMs and agentic frameworks is a plus.
• Experience with post-training LLMs (SFT, PEFT, or RL).
• Ability to build synthetic data generation pipelines.

Responsibilities

• Design and develop novel agentic solutions.
• Improve upon SOTA on hard agentic tasks.
• Research the next-generation of online learning-from-experience self-improvement.
• Work with partner teams to improve performance of agentic systems.
• Collaborate with researchers and engineers pushing the boundaries.

Skills

Python

ML frameworks

LLMs

Post-training

Data generation

Team collaboration

PyTorch

NumPy

Tools

PyTorch

NumPy

Job description

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. Join us on our mission and shape the future!

Why this role?

Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform. The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory). We work in an empirical-research-driven manner to develop production solutions. Much of the work is based on improving beyond the current state-of-the-art in a setting where we know this will bring value to our customers. As a part of this team, you will help drive exploration and development of agentic techniques. You will have the opportunity to build the models that power our agentic solutions. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models.

Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being 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 for Next Generation Agents you will:

• Design and develop novel agentic solutions
• Improve upon SOTA on hard 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 system
• Work with an amazing team of researchers and engineers pushing the boundaries

You may be a good fit if you have:

• Strong software engineering skills
• Proficiency in Python and have some 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

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!)