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- Tasks: Transform research into AI models and build innovative infrastructure for private market investing.
- Company: Exciting early-stage deep tech start-up in London with a focus on AI.
- Benefits: Hybrid working model, ownership of projects, and the chance to shape foundational technology.
- Other info: Opportunity for original research and career growth in a dynamic environment.
- Why this job: Join a small, ambitious team and make a real impact in the AI space.
- 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.
Research Engineer (D employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (D
✨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 Research Engineer (D
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 prepared you for this role, so don’t hold back on those impressive grades or relevant projects!
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 that you’re ready to take on the responsibilities of a Founding Applied Research Engineer.
Translate Research into Practical Applications: Since this role involves translating research into production infrastructure, give us a glimpse of how you've done this in the past. Talk about any experiences where you’ve taken theoretical concepts and turned them into practical solutions.
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. Plus, it shows you’re serious about joining our ambitious team!
How to prepare for a job interview at Arrows
✨Know Your Stuff
Make sure you have a solid grasp of AI and deep tech concepts. Brush up on your academic background and be ready to discuss how your research can translate into practical applications for the company’s platform.
✨Show Ownership
Prepare examples from your past projects where you took ownership and drove results. This role is all about responsibility, so highlight instances where you led initiatives or made significant contributions.
✨Understand Their Product
Familiarise yourself with the company’s platform and its unique features. Think about how you can enhance their AI intelligence layer and be ready to share your ideas during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission and future. Inquire about their current challenges in building the AI model and how you can contribute to overcoming them.