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 agentic technologies.
- 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) 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 continuous learning, providing employees with ample opportunities for professional growth while working alongside a talented team of researchers and engineers. Located in a vibrant tech hub, we offer a dynamic environment where your contributions directly impact our cutting-edge solutions, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (Next Generation Agents)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLMs and agentic frameworks. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! If you've got projects or code samples that highlight your Python and ML experience, make sure to share them during interviews. It’s a great way to demonstrate your hands-on abilities.
✨Tip Number 3
Stay curious and keep learning! Dive into the latest research on agentic systems and synthetic data generation. Being up-to-date will not only impress interviewers but also help you stand out as a candidate.
✨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 perspectives. You never know what could happen!
We think you need these skills to ace Member of Technical Staff (Next Generation Agents)
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, like PyTorch or NumPy, don’t forget to mention that too!
Be Honest About Your Experience:If you don’t tick every box in the job description, no worries! We still want to hear from you. Just be upfront about what you do know and how you’re keen to learn more about LLMs and agentic frameworks.
Tailor Your Application:Take a moment to tailor your application to our Next Generation Agents team. Mention any relevant projects or experiences that align with building synthetic data generation pipelines or improving agent capabilities.
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
✨Show Off Your Coding Skills
Make sure to brush up on your Python skills before the interview. Be ready to discuss your experience with ML-related code, especially frameworks like PyTorch and NumPy. You might even be asked to solve a coding problem on the spot, so practice some common algorithms and data structures!
✨Know Your LLMs Inside Out
Familiarise yourself with large language models (LLMs) and agentic frameworks. Be prepared to talk about your experience with post-training techniques like SFT and RL*. If you’ve worked on synthetic data generation pipelines, have examples ready to share that highlight your contributions.
✨Research the Company and Team
Dive into Cohere’s North platform and understand how agentic LLM systems are being used in enterprise settings. Knowing the company’s goals and the Next Generation Agents team's focus will help you align your answers with their vision and demonstrate your genuine interest.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, or future directions. This shows that you’re not just interested in the job, but also in contributing to their mission and growth.
