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- Tasks: Develop innovative evaluation methods for large language models and create impactful benchmarks.
- Company: Leading AI research firm in London with a focus on diversity and innovation.
- Benefits: Remote-friendly work, competitive salary, and opportunities for professional growth.
- Other info: Inclusive environment that values diverse perspectives and innovative research.
- Why this job: Join a team pushing the boundaries of AI and make a real difference in technology.
- Qualifications: Experience with LLMs and strong software engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI research firm in London seeks a Senior Research Engineer, Model Evaluation to develop cutting-edge evaluation methods for LLMs. This role involves creating benchmarks and datasets, conducting research, and building tools for evaluation analysis.
Ideal candidates have experience with LLMs, strong software engineering skills, and a track record of pushing AI capabilities. Join an inclusive environment with a focus on diversity and innovative research.
Senior LLM Evaluation Engineer (Remote‑Friendly) in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior LLM Evaluation Engineer (Remote‑Friendly) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI research community, especially those working with LLMs. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs, including any benchmarks or datasets you've developed. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and LLM evaluation methods. We want to see your passion and knowledge, so be ready to discuss how you can push AI capabilities further!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior LLM Evaluation Engineer (Remote‑Friendly) in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and LLMs shine through. We want to see how your experience aligns with our mission to push AI capabilities forward.
Highlight Relevant Experience: Make sure to detail your experience with LLMs and software engineering. We’re looking for candidates who can demonstrate their skills in developing evaluation methods and tools, so don’t hold back!
Tailor Your Application: Customise your application to reflect the specific requirements of the Senior LLM Evaluation Engineer role. We appreciate when candidates take the time to connect their background to what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our inclusive environment.
How to prepare for a job interview at Cohere
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss recent advancements, evaluation methods, and any benchmarks you've worked with. This shows your passion and expertise in the field.
✨Showcase Your Software Skills
Since strong software engineering skills are crucial for this role, be ready to talk about your coding experience. Bring examples of projects where you've built tools or conducted analysis, and if possible, demonstrate your problem-solving approach during the interview.
✨Research the Company
Dive into the company's recent research and projects. Understanding their focus areas will help you tailor your answers and show that you're genuinely interested in contributing to their innovative environment.
✨Emphasise Diversity and Inclusion
This firm values an inclusive environment, so be prepared to discuss how you can contribute to diversity in the workplace. Share experiences where you've worked in diverse teams or promoted inclusivity in your previous roles.