Member of Technical Staff, Agent Code

Member of Technical Staff, Agent Code

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Cohere

At a Glance

  • Tasks: Drive the development of cutting-edge code LLMs and agent systems to solve complex tasks.
  • Company: Join Cohere, a leading AI company on a mission to scale intelligence for humanity.
  • Benefits: Enjoy competitive pay, equity, remote work flexibility, and a collaborative culture.
  • Other info: Dynamic, research-driven environment with access to world-class resources and career growth.
  • Why this job: Be at the forefront of AI innovation and shape the future of code generation.
  • Qualifications: PhD in Computer Science or related field, with expertise in code LLMs and strong software skills.

The predicted salary is between 36000 - 60000 £ per year.

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? 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.

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.
  • 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.

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.
  • 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! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you. 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.

Member of Technical Staff, Agent Code employer: Cohere

Cohere is an exceptional employer that champions innovation and collaboration, particularly in the dynamic field of AI deployment. With a flexible remote work environment, generous vacation policies, and robust training stipends, we prioritise employee well-being and professional growth. Join us to be part of a forward-thinking team that is making significant impacts in sectors like finance and healthcare.

Cohere

Contact Details:

Cohere Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Member of Technical Staff, Agent Code

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

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to code LLMs and agent systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by diving deep into the latest research and trends in AI and code generation. Be ready to discuss how your experience aligns with Cohere's mission and how you can contribute to their cutting-edge work.

Tip Number 4

Don’t forget to 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 team at Cohere.

We think you need these skills to ace Member of Technical Staff, Agent Code

Research Skills
Code LLMs Expertise
Agent Systems Knowledge
Python Proficiency
PyTorch
TensorFlow
Distributed Systems Experience

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for AI and code LLMs shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at Cohere!

Tailor Your CV:Make sure your CV highlights relevant experience in code generation and autonomous agents. Use keywords from the job description to show us you understand what we're looking for and how you fit into our mission.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story. Share specific examples of your work with frontier models or any innovative projects you've led. This is where you can really connect your experience to our goals.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team!

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

Be ready to discuss your hands-on experience with frontier LLMs and their applications. Prepare specific examples of projects where you’ve contributed to code generation or automation. Highlight your software engineering skills, particularly in Python and frameworks like PyTorch or TensorFlow, as these are crucial for the role.

Demonstrate Problem-Solving Skills

Cohere is looking for proactive individuals who love tackling ambitious problems. Think of a few complex challenges you've faced in your previous roles and how you approached them. Be prepared to share your thought process and the outcomes, as this will showcase your ability to think critically and creatively.

Emphasise Collaboration

Since the role involves working closely with a team of researchers and engineers, highlight your collaborative experiences. Discuss how you’ve worked in diverse teams and contributed to collective goals. This will demonstrate that you’re not just a lone wolf but someone who thrives in a team-oriented environment.