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- Tasks: Transform research into AI-driven infrastructure for private market investing.
- Company: Exciting early-stage deep tech start-up in London.
- Benefits: Hybrid working model, ownership of projects, and a chance to shape AI technology.
- Other info: Opportunity to conduct original research and build foundational AI models.
- Why this job: Join a small, ambitious team and make a real impact in AI innovation.
- Qualifications: Strong academic background and experience in high ownership projects.
The predicted salary is between 60000 - 80000 £ 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.
Responsibilities include:
- Translating research into production infrastructure
- Building a deep tech AI model and conducting original, applied research
Hybrid working model in London. If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.
Experienced Research Engineer employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced 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. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and research. This is your chance to demonstrate your expertise and passion for applied research, so let us see what you've got!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and deep tech. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Experienced Research Engineer
Some tips for your application 🫡
Show Off Your Academic Background: Make sure to highlight your strong academic background from a leading university. We want to see how your education has shaped your skills and knowledge, so don’t hold back!
Demonstrate Ownership in Projects: We’re looking for evidence of success in high ownership projects. Share specific examples where you took the lead and made a real impact. This will show us you’re ready for the responsibility that comes with this role.
Translate Research into Practical Applications: Since this role involves translating research into production infrastructure, give us insights into how you've done this before. We love seeing how you can bridge the gap between theory and practice!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Arrows
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and deep tech. Familiarise yourself with the company's platform and how it transforms data into structured intelligence. Being able to discuss specific technologies or methodologies will show your genuine interest and expertise.
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those where you had significant ownership. Highlight how you translated research into practical applications, as this aligns perfectly with what they’re looking for in a Founding Applied Research Engineer.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your understanding of the role and the company’s mission. Inquire about their current challenges in building the AI model or how they envision the retrieval infrastructure evolving. This shows you're not just interested in the job, but also in contributing to their vision.
✨Embrace the Hybrid Model
Since they offer a hybrid working model, be ready to discuss how you can effectively collaborate in both remote and in-office settings. Share any experiences you have with remote teamwork and how you maintain productivity and communication in such environments.