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- Tasks: Enhance AI assistants to tackle complex technical questions and design innovative experiments.
- Company: Kapa, a pioneering tech company revolutionising access to technical knowledge through AI.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and push the boundaries of AI technology in a fast-paced environment.
- Qualifications: Master's/PhD in relevant fields and hands-on experience with machine learning and LLMs.
- Other info: Work remotely from anywhere in Europe or join our Copenhagen office for a hybrid experience.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Kapa makes technical knowledge instantly accessible through AI assistants. As a research engineer, you will work on improving Kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation for a live example of what Kapa is (look for the “Ask AI” button).
The Following Challenges Should Excite You:
- Evaluating a RAG system in production without labelled data.
- Creating your own benchmark from scratch.
- Building an agentic retrieval system that can judge when to be fast and when to take more time.
- Fine tuning embeddings or rerank models.
To Solve These Challenges You Will:
- Work directly with the founding team and our software engineers.
- Keep up with the latest developments in the space and see how they can be applied.
- Design and run experiments.
You May Be a Good Fit If You Have:
- A Master’s/ PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field.
- A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing.
- Hands-on experience in training, fine-tuning and deploying large language models.
- Prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
- Significant experience building evaluation systems for LLMs or search.
- Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
- The ability to work effectively in a fast environment where things are sometimes loosely defined.
- A desire to learn more about machine learning research.
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out.
Location: Remote within Europe. We’re a distributed team and welcome applicants based anywhere in Europe. We also have an office in Copenhagen for those who prefer working on-site or hybrid.
Research Engineer, Applied AI in London employer: kapa.ai
Contact Detail:
kapa.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Applied AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at Kapa or similar companies. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with what Kapa does, don’t hesitate to share them. Create a portfolio or GitHub repo showcasing your work in machine learning and AI.
✨Tip Number 3
Prepare for interviews by diving deep into Kapa’s tech stack and challenges. Brush up on RAG systems, embeddings, and retrieval techniques so you can impress them with your knowledge and enthusiasm.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Engineer, Applied AI in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about tackling complex challenges and improving Kapa’s capabilities!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight relevant experience and skills that match the job description. We love seeing how your background aligns with our needs, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at kapa.ai
✨Know Your Stuff
Make sure you brush up on your machine learning, deep learning, and natural language processing knowledge. Be ready to discuss your hands-on experience with large language models and any projects you've worked on that relate to the job description.
✨Show Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those related to evaluation systems or retrieval techniques. Think of examples where you had to create benchmarks or fine-tune models, and be ready to explain your thought process.
✨Stay Current
Kapa is all about innovation, so make sure you're up-to-date with the latest developments in AI and machine learning. Bring up recent papers or technologies that excite you and discuss how they could apply to Kapa's work.
✨Be Ready for a Dynamic Environment
Since the role involves working in a fast-paced environment, be prepared to share how you've adapted to changing situations in the past. Highlight your ability to thrive in loosely defined scenarios and your eagerness to learn and grow within the team.
