At a Glance
- Tasks: Drive the development of cutting-edge code LLMs and agent systems to revolutionise software building.
- Company: Join Cohere, a leader in innovative tech with a research-driven culture.
- Benefits: Access to world-class resources, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment encouraging collaboration and innovation, perfect for ambitious problem solvers.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: PhD in Computer Science or related field, with expertise in code models and strong software skills.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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
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!
What the job involves
- 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.
- 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, creating SFT trajectories and working 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.
Member of Technical Staff (Agent Code) in London employer: Deepstreamtech
Cohere is an exceptional employer for those passionate about advancing the field of code LLMs and agent systems. With a dynamic, research-driven culture, employees benefit from access to world-class resources and opportunities for hands-on collaboration with talented engineers and researchers. The company fosters a proactive environment that encourages innovation and personal growth, making it an ideal place for individuals eager to make meaningful contributions in a cutting-edge technological landscape.
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 your field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to code LLMs and agent systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on the latest research and trends in your area. Be ready to discuss how your experience aligns with the cutting-edge work we’re doing at Cohere.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t meet every single requirement, we value passion and potential just as much as experience.
We think you need these skills to ace Member of Technical Staff (Agent Code) in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your PhD and any publications in top-tier venues. We want to see your deep expertise in code LLMs and agent systems, so don’t hold back on showcasing your research and contributions!
Be Hands-On:We love candidates who have hands-on experience with frontier LLMs. Share specific projects or experiences where you’ve worked with code generation or automation. This is your chance to show us how you’ve applied your skills in real-world scenarios!
Demonstrate Your Software Skills:Proficiency in Python and frameworks like PyTorch or TensorFlow is key. Include examples of your software engineering skills in your application. We want to know how you’ve tackled complex problems and built scalable solutions!
Keep It Relevant and Personal:Tailor your application to reflect your passion for shaping the future of code LLMs and agent systems. Let us know why you’re excited about this role and how you can contribute to our dynamic, research-driven environment. And remember, apply through our website!
How to prepare for a job interview at Deepstreamtech
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and publications, especially those related to code LLMs and agent systems. Be prepared to discuss your contributions in detail and how they align with the latest trends in the field.
✨Showcase Your Hands-On Experience
Bring examples of your hands-on work with frontier LLMs and their applications. Whether it’s a project or a specific problem you solved, be ready to explain your approach and the impact it had on the outcome.
✨Demonstrate Your Software Skills
Brush up on your Python and any frameworks like PyTorch or TensorFlow. You might be asked to solve a coding challenge or discuss your software engineering practices, so be ready to showcase your technical prowess.
✨Emphasise Your Proactive Mindset
Cohere values a proactive and self-motivated attitude. Share examples of how you've tackled ambitious problems in the past and how you stay updated with the latest research. This will show that you’re not just a follower but a leader in innovation.
