
Member of Technical Staff, Agent Code
Cohere · Toronto, ON
- Hybrid
- Full-time
- $150,000 / year
- Toronto, ON
Job highlights
- Develop cutting-edge code LLMs and agent systems.
- Research and implement novel AI model ideas.
- Design scalable strategies for model training.
- Work with world-class compute and data.
- Collaborate with top AI researchers and engineers.
About the role
About Cohere
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?
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.
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.
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. 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!
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
- Member of Technical Staff
- Agent Code
- Code LLMs
- Autonomous Agents
- Research
- Engineering
- Python
- PyTorch
- TensorFlow
- Distributed Systems
Skills & topics
- Member of Technical Staff
- Agent Code
- AI Engineer
- Machine Learning Engineer
- LLM
- Large Language Models
- Code Generation
- Autonomous Agents
- Research Scientist
- Python
- PyTorch
- TensorFlow
- Distributed Systems
- Cloud Infrastructure
- PhD
- Computer Science
- Machine Learning
- NeurIPS
- ICML
- ICLR
- ACL
- EMNLP
How to get hired
- Tailor your resume: Highlight your PhD, publications in top-tier venues, and deep expertise in code LLMs and agent systems. Quantify achievements in AI research and software engineering.
- Showcase your skills: Emphasize proficiency in Python, PyTorch, TensorFlow, and experience with distributed systems and scalable architectures.
- Demonstrate research passion: Detail your contributions to code models and your proactive approach to solving ambitious problems.
- Prepare for technical interviews: Be ready to discuss your research, coding challenges, and experience with frontier LLMs and agent frameworks.
- Highlight collaboration: Emphasize your ability to work effectively with a team of researchers and engineers.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities for a Member of Technical Staff, Agent Code at Cohere?
- As a Member of Technical Staff on the Agent Code team at Cohere, you will focus on advancing code LLMs and agent systems. This involves staying updated with research, designing training strategies, implementing agent frameworks, and leading experiments on cutting-edge infrastructure to push the boundaries of AI.
- What qualifications are essential for the Member of Technical Staff, Agent Code role at Cohere?
- The ideal candidate for this role holds a PhD in Computer Science or a related field, with a strong publication record. Essential qualifications include deep expertise in code LLMs and agent systems, hands-on experience with frontier LLMs, proficiency in Python and ML frameworks like PyTorch/TensorFlow, and experience with distributed systems.
- Is this role at Cohere remote or on-site?
- Cohere offers a remote-friendly work environment. While they have offices in London, Toronto, New York, and San Francisco, this role is open to remote candidates. However, the team operates primarily between ET to CET time zones, so location alignment for collaboration is important.
- What kind of research and development opportunities are available at Cohere for this role?
- This role offers significant research and development opportunities, placing you at the forefront of code LLMs and autonomous agents. You'll have access to world-class compute resources, collaborate with leading AI talent, and contribute to building scalable, production-ready solutions that are shaping the future of AI.
- How does Cohere blend research and engineering for the Agent Code team?
- Cohere uniquely blends engineering and research, allowing team members to contribute to both depending on their interests and organizational needs. This means you'll have the flexibility to dive deep into research literature, experiment with models, and also build scalable, production-ready systems.
- What kind of career growth can I expect as a Member of Technical Staff at Cohere?
- As a Member of Technical Staff at Cohere, you'll be working on cutting-edge AI problems with some of the best minds in the field. The company offers competitive compensation, equity, and a dynamic environment focused on impact and innovation, providing a strong foundation for career growth in AI.