Founding Research Engineer - Ontology & Knowledge Graphs
Founding Research Engineer - Ontology & Knowledge Graphs

Founding Research Engineer - Ontology & Knowledge Graphs

Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop innovative ontology generation for our AI Brain platform.
  • Company: Join 60x.ai, a pioneering tech company in Greater London.
  • Benefits: Enjoy private healthcare, wellness perks, and professional growth opportunities.
  • Other info: Collaborative team environment with exciting bonding activities.
  • Why this job: Be at the forefront of AI technology and shape the future of knowledge graphs.
  • Qualifications: Proficiency in Rust and Python, with experience in knowledge graphs.

The predicted salary is between 60000 - 80000 £ per year.

60x.ai is seeking a software engineer to work on the AI Brain platform in Greater London. The role involves:

  • Designing hierarchical ontology generation
  • Developing per-tenant configuration mechanisms
  • Creating evaluation pipelines for generated ontologies

Candidates should have expertise in Rust and Python, as well as experience with knowledge graphs and dynamic ontology generation.

The position offers private healthcare and wellness benefits, along with opportunities for team bonding and professional development.

Founding Research Engineer - Ontology & Knowledge Graphs employer: 60x.ai

At 60x.ai, we pride ourselves on being an exceptional employer in the heart of Greater London, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is reflected in our professional development opportunities, while our comprehensive benefits, including private healthcare and wellness initiatives, ensure that our team members thrive both personally and professionally. Join us to be part of a forward-thinking company where your contributions to AI technology will make a meaningful impact.
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Contact Detail:

60x.ai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Founding Research Engineer - Ontology & Knowledge Graphs

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and software engineering circles, especially those who work with ontology and knowledge graphs. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! If you’ve got projects or contributions in Rust or Python, make sure to highlight them in conversations. We love seeing real-world applications of your expertise.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge graph concepts and dynamic ontology generation. We want to see how you think and solve problems, so practice explaining your thought process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who fit our vibe.

We think you need these skills to ace Founding Research Engineer - Ontology & Knowledge Graphs

Rust
Python
Hierarchical Ontology Generation
Knowledge Graphs
Dynamic Ontology Generation
Software Development
Evaluation Pipelines
Configuration Mechanisms

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in Rust and Python right from the get-go. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with knowledge graphs and dynamic ontology generation!

Tailor Your Application: Take a moment to customise your application for the Founding Research Engineer position. Mention specific projects or experiences that relate to hierarchical ontology generation and evaluation pipelines. This will help us see how you fit into our vision.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at 60x.ai.

How to prepare for a job interview at 60x.ai

✨Know Your Tech Inside Out

Make sure you brush up on your Rust and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to ontology generation and knowledge graphs. This will show that you’re not just familiar with the tech, but that you can apply it effectively.

✨Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled challenges in previous roles, particularly those involving dynamic ontology generation or evaluation pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.

✨Understand the Company’s Vision

Do some homework on 60x.ai and their AI Brain platform. Understanding their goals and how your role as a Founding Research Engineer fits into that vision will help you articulate why you're a great fit for the team. It also shows genuine interest in the company.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of the interview. Inquire about their approach to team bonding and professional development opportunities. This not only demonstrates your enthusiasm for the role but also helps you gauge if the company culture aligns with your values.

Founding Research Engineer - Ontology & Knowledge Graphs
60x.ai

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