1. About the Role

We're looking for a Research Scientist to advance the foundations of governed semantic reasoning. You'll work on novel approaches to knowledge representation, reasoning algorithms, and ensuring AI systems are trustworthy and auditable.

This role involves fundamental research that bridges theoretical computer science, AI, and practical enterprise applications. You'll publish papers, contribute to open-source projects, and work on problems that matter for the future of AI governance.

2. Key Responsibilities

  • Conduct research on semantic reasoning, knowledge representation, and AI governance
  • Design and implement novel reasoning algorithms and architectures
  • Publish research findings in top-tier conferences and journals
  • Collaborate with engineering teams to productionize research innovations
  • Contribute to open-source research projects and tools
  • Stay current with latest developments in AI, reasoning, and knowledge graphs
  • Mentor junior researchers and contribute to research culture

3. Required Qualifications

  • Education: PhD in Computer Science, AI, or related field (or equivalent research experience)
  • Research: Strong research background in semantic reasoning, knowledge representation, or related areas
  • Publications: Track record of publications in top-tier venues
  • Programming: Strong programming skills (Python, and experience with ML frameworks)
  • Domain: Deep understanding of logic, reasoning, and knowledge graphs
  • Independence: Ability to work independently and drive research directions
  • Communication: Excellent written and verbal communication skills

4. Ideal Candidate Profile

The ideal candidate brings a unique combination of theoretical depth and practical application. You thrive in high-growth environments and are energised by the challenge of advancing the foundations of governed AI.

  • You've successfully conducted research that bridges theory and practice
  • You understand the nuances of semantic reasoning and knowledge representation
  • You're comfortable operating in ambiguity and can create structure from complex research challenges
  • You lead by example and aren't afraid to roll up your sleeves
  • You're passionate about the potential of semantic reasoning to transform enterprise AI
  • You value rigor, innovation, and building research that matters

Bonus Points

Experience with semantic web technologies (RDF, OWL, SPARQL). Background in formal methods or verification. Experience with large language models and their applications. Knowledge of enterprise AI or governance systems.

5. Compensation

We offer a competitive compensation package designed to attract and retain exceptional talent:

  • Base Salary: Competitive base commensurate with experience and market rates
  • Variable Compensation: Performance-based bonus structure tied to research impact and publications
  • Equity: Meaningful equity stake reflecting the importance of this role

6. Benefits & Perks

We invest in our team with benefits designed to support your best work and life:

Meaningful Equity
Remote Flexibility
Flexible Time Off
Learning Budget
Home Office Setup
Team Retreats

Ready to Advance Semantic Reasoning?

If you're excited about pushing the boundaries of semantic reasoning and knowledge representation, we'd love to hear from you.

Apply Now
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