At a Glance
- Tasks: Join a team exploring cutting-edge agentic LLM systems and develop innovative solutions.
- Company: Dynamic tech company at the forefront of AI and machine learning.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Encouraging environment where all backgrounds are welcome to apply.
- Why this job: Make a real impact in AI by developing next-gen models and techniques.
- Qualifications: Strong software engineering skills, Python proficiency, and some ML experience.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Strong software engineering skills
- Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.)
- Experience with LLMs and agentic frameworks
- Experience with post-training LLMs (SFT, PEFT, or RL*)
- Experience with building synthetic data generation pipelines
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
What the job involves
- Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform.
- The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory).
- We work in an empirical-research-driven manner to develop production solutions.
- Much of the work is based on improving beyond the current state-of-the-art in a setting where we know this will bring value to our customers.
- As a part of this team, you will help drive exploration and development of agentic techniques.
- You will have the opportunity to build the models that power our agentic solutions.
- This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models.
- Design and develop novel agentic solutions.
- Improve upon SOTA on hard agentic tasks.
- Research the next-generation of online learning-from-experience self-improvement.
- Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system.
- Work with an amazing team of researchers and engineers pushing the boundaries.
Member of Technical Staff (Next Generation Agents) in London employer: Deepstreamtech
Cohere is an exceptional employer for those passionate about advancing the field of artificial intelligence, particularly in the realm of agentic LLM systems. Our collaborative work culture fosters innovation and creativity, providing employees with ample opportunities for professional growth and development. Located in a vibrant tech hub, we offer competitive benefits and the chance to work alongside a talented team dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (Next Generation Agents) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLMs and agentic frameworks. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or code samples, share them on platforms like GitHub. It’s a great way to demonstrate your proficiency in Python and ML-related code.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in agentic systems and synthetic data generation. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don’t hesitate to apply through our website, even if your experience isn’t a perfect match. We value diverse backgrounds and are keen to see what unique perspectives you can bring to the team!
We think you need these skills to ace Member of Technical Staff (Next Generation Agents) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong software engineering skills and proficiency in Python right from the start. If you've dabbled in ML-related code or have experience with LLMs, let us know! We want to see what you've got.
Be Honest About Your Experience:If you don’t tick every box in the job description, don’t sweat it! We’re all about potential and passion. Just be upfront about your experience and how you can contribute to our team.
Tailor Your Application:Take a moment to tailor your application to the role. Mention specific projects or experiences that relate to agentic frameworks or synthetic data generation pipelines. This shows us you’re genuinely interested!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Deepstreamtech
✨Showcase Your Software Skills
Make sure to highlight your strong software engineering skills during the interview. Be ready to discuss specific projects where you've used Python, especially in relation to ML-related code like PyTorch or NumPy. This will demonstrate your technical proficiency and how it aligns with the role.
✨Familiarise Yourself with LLMs
Since the job involves working with large language models (LLMs), brush up on your knowledge of agentic frameworks and post-training techniques like SFT and RL. Prepare to discuss any relevant experience you have, even if it's not extensive, as this shows your willingness to learn and adapt.
✨Prepare for Empirical Research Discussions
The team values an empirical-research-driven approach, so be prepared to talk about how you've applied research methods in your previous work. Think of examples where you've improved existing solutions or explored new modelling techniques, as this will resonate well with their goals.
✨Collaborative Mindset is Key
This role involves working closely with various teams, so emphasise your collaborative experiences. Share examples of how you've successfully partnered with others to achieve a common goal, particularly in tech environments. This will show that you're a team player who can contribute to their innovative culture.
