At a Glance
- Tasks: Design knowledge graphs and build advanced information retrieval systems.
- Company: Pioneering tech start-up in London with an ambitious team.
- Benefits: Competitive salary up to £70k, hybrid working model, and substantial equity.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Influence foundational AI technology and be part of a groundbreaking team.
- Qualifications: Strong academic background and experience in knowledge graphs and information retrieval.
The predicted salary is between 42000 - 84000 £ per year.
A pioneering tech start-up in London is seeking a Founding Applied Research Engineer to design knowledge graphs and build advanced information retrieval systems. This role offers the opportunity to influence foundational AI technology within a small, ambitious team.
The ideal candidate will have a strong academic background and experience in knowledge graphs and information retrieval.
The position includes a hybrid working model and a competitive salary up to £70k plus substantial equity.
Founding Applied Research Engineer – AI Knowledge Graphs employer: Arrows
Join a pioneering tech start-up in London where innovation meets ambition. As a Founding Applied Research Engineer, you'll be part of a small, dynamic team dedicated to shaping the future of AI technology, with opportunities for personal and professional growth. Enjoy a hybrid working model, a competitive salary of up to £70k, and the unique advantage of substantial equity, making this an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Applied Research Engineer – AI Knowledge Graphs
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work with knowledge graphs. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to knowledge graphs and information retrieval. This will give you an edge and demonstrate your hands-on experience to the hiring team.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI and knowledge graphs. Be ready to discuss how you can contribute to the start-up's vision and what innovative ideas you can bring to the table.
✨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 are proactive about their job search!
We think you need these skills to ace Founding Applied Research Engineer – AI Knowledge Graphs
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with knowledge graphs and information retrieval in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for in a Founding Applied Research Engineer.
Be Authentic:Let your personality shine through in your written application. We’re a small, ambitious team, and we value authenticity. Share your passion for AI and how you envision contributing to our mission at StudySmarter.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at Arrows
✨Know Your Knowledge Graphs
Make sure you brush up on your knowledge of knowledge graphs and information retrieval systems. Be prepared to discuss your previous projects and how they relate to the role. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Academic Background
Since the ideal candidate has a strong academic background, be ready to highlight your education and any relevant research. Discuss specific courses or projects that have equipped you with the skills needed for this role. It’s a great way to demonstrate your expertise and commitment to the field.
✨Emphasise Team Collaboration
This position is within a small, ambitious team, so it’s crucial to convey your ability to work collaboratively. Share examples of how you’ve successfully worked in teams before, especially in tech or research settings. This will help the interviewers see you as a team player who can contribute positively to their culture.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the company’s vision for AI technology and how you can contribute. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
