Member of Technical Staff, Agent Code
Cohere
Job Overview
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Job Description
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, enabling them to build AI systems that power transformative experiences like content generation, semantic search, RAG, and agents. We believe our work is crucial to the widespread adoption of AI.
We are passionate about our creations, with each team member contributing to enhancing model capabilities and delivering value to our customers. We thrive in a fast-paced environment, always striving to deliver the best for those we serve.
Cohere is comprised of researchers, engineers, designers, and many more, all masters of their craft. We firmly believe that a diverse array of perspectives is essential for creating outstanding products.
Join us on our mission to shape the future of AI!
Why this role?
Code-generating LLMs and autonomous agents are revolutionizing software development and task automation. At Cohere, we are pushing the boundaries of these technologies for enterprise applications and are seeking a senior Member of Technical Staff for our Agent Code team. You will be at the forefront of research and engineering, driving the development of 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 role. You will immerse yourself in 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, engineering and research are seamlessly integrated, with everyone contributing to both, based on interests and organizational needs. We provide access to world-class compute resources, data, and talent to empower you to achieve your best work.
Note: Cohere has offices in London, Toronto, New York, and San Francisco, but we are also remote-friendly! This team primarily operates within ET to CET time zones, so we are seeking candidates in locations that align with these hours for effective collaboration.
As a Member of Technical Staff, Agent Code, you will:
- 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.
You May Be a Good Fit If You Have:
- 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, demonstrating a strong understanding of the latest research and trends. We are looking for individuals who 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! We encourage all qualified individuals to apply, even if their experience doesn't perfectly align with every bullet point. We value diversity and inclusivity, offering accommodations during the recruitment process if needed.
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 for 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, with 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
- Code LLMs
- Agent Systems
- Deep Learning
- Natural Language Processing
- Distributed Systems
- Cloud Infrastructure
- Python
- PyTorch
- TensorFlow
- Scalable Architectures
How to Get Hired at Cohere
- Research Cohere's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their innovative spirit and AI focus.
- Tailor your resume: Customize your application to highlight deep expertise in code LLMs, agent systems, Python, PyTorch/TensorFlow, and distributed systems, aligning with Cohere's technical needs.
- Showcase relevant projects: Provide concrete examples of your contributions to code model development, frontier LLM applications, or scalable AI architectures to demonstrate practical experience.
- Prepare for technical deep-dives: Be ready to discuss the latest research in code LLMs and agents, as well as your experience with SFT, RL algorithms, and high-performance computing infrastructure.
- Articulate your impact: During interviews, clearly describe how your research and engineering skills can contribute to Cohere's mission of scaling intelligence and building impactful AI systems.
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