At a Glance
- Tasks: Design knowledge graphs and build advanced information retrieval systems for AI-driven investment.
- Company: Exciting early-stage deep tech start-up based in London.
- Benefits: Competitive salary up to £70k, substantial equity, and hybrid working model.
- Other info: Opportunity for genuine ownership and influence in a small, ambitious team.
- Why this job: Join a founding team and make a real impact in AI technology from day one.
- Qualifications: Strong academic background and experience in knowledge graphs and information retrieval.
The predicted salary is between 42000 - 84000 £ per year.
I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure.
This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential:
- Design knowledge graphs
- Build advanced information retrieval systems
- Create robust information extraction pipelines
- Translate research into production infrastructure
On offer:
- The opportunity to build a deep tech AI model and conduct original, applied research
- Founding engineer responsibility with high visibility and influence
- Hybrid working model in London
- Salary up to £70k plus substantial equity
- Genuine ownership over what is built from day one
If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.
Research Engineer employer: Arrows
Join an innovative early-stage start-up in London, where you will have the unique opportunity to shape the future of AI-driven private market investing. With a strong emphasis on employee ownership and influence, this role offers a collaborative work culture that fosters creativity and growth, alongside competitive compensation and substantial equity. As a Founding Applied Research Engineer, you will be at the forefront of cutting-edge technology, making a meaningful impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to knowledge graphs and information retrieval. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make a difference. Your next big opportunity could be just a click away!
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your academic background and any relevant projects you've worked on. We want to see how your experience aligns with the role of a Research Engineer, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for us. Mention specific skills like knowledge graphs and information retrieval that are key to the role. This shows you’ve done your homework and are genuinely interested in what we do.
Be Clear and Concise:When writing your application, keep it straightforward. 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 team!
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 right away!
How to prepare for a job interview at Arrows
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, knowledge graphs, and information retrieval. Be ready to discuss your academic background and any relevant projects you've worked on. This is your chance to show how your expertise aligns with the company's goals.
✨Showcase Your Projects
Prepare to talk about high ownership projects you've been involved in. Highlight your role, the challenges you faced, and the impact of your work. This will demonstrate your ability to take initiative and deliver results, which is crucial for a founding engineer.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company and its mission. Inquire about their current challenges in building the AI model or how they envision the future of private market investing. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. The team is looking for someone who fits well within their culture, so being authentic can help you stand out. Share your passion for deep tech and how you see yourself contributing to their vision.
