At a Glance
- Tasks: Join a team revolutionising AI with code-generating LLMs and autonomous agents.
- Company: Cohere, a leading AI company focused on innovation and collaboration.
- Benefits: Competitive salary, remote-friendly work, health benefits, and generous vacation time.
- Why this job: Shape the future of AI while working on cutting-edge technology in a dynamic environment.
- Qualifications: PhD in Computer Science or related field, expertise in code LLMs, and strong software engineering skills.
- Other info: Inclusive culture with opportunities for personal enrichment and professional growth.
The predicted salary is between 48000 - 72000 £ per year.
Who are we? Our mission is to scale intelligence to serve humanity. We are 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 is 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 revolutionising how software is built and tasks are automated. At Cohere, we are pushing the boundaries of what is possible with these technologies for enterprises, and we are looking for a senior member for the Agent Code team. You will 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 will 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 organisational 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 are also remote-friendly! This team operates primarily between 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 on the Agent Code team, 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. You will be collaborating 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 is 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, 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 are passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, we would love to hear from you!
If some of the above does not 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!).
Member of Technical Staff, Agent Code in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Agent Code in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their mission. Practise common technical questions and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can set you apart. Make sure to highlight any relevant experience with code LLMs or agent systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission at Cohere.
We think you need these skills to ace Member of Technical Staff, Agent Code in London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for AI and code LLMs! Share any personal projects or research that highlight your interest in the field. We love candidates who are genuinely excited about what they do.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the skills and experiences that align with our mission. Highlight your expertise in code models and agent systems, as we want to know how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to submit your application directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Cohere
✨Know Your Stuff
Make sure you’re up-to-date with the latest research in code LLMs and agent systems. Familiarise yourself with recent publications and trends, especially those from top-tier venues like NeurIPS or ICML. This will not only show your passion but also help you engage in meaningful discussions during the interview.
✨Showcase Your Experience
Prepare to discuss your hands-on experience with frontier LLMs and their applications. Be ready to share specific examples of projects you've worked on, particularly those involving code generation or automation. Highlight your software engineering skills, especially in Python and frameworks like PyTorch or TensorFlow.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
✨Emphasise Collaboration
Since this role involves working closely with a diverse team, be sure to highlight your collaborative experiences. Share examples of how you’ve successfully worked with others to solve complex problems, and express your enthusiasm for contributing to a team that values diverse perspectives.