Remote Lean 4 & Formal Proof Researcher

Remote Lean 4 & Formal Proof Researcher

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Alignerr

At a Glance

  • Tasks: Formalise advanced mathematics in Lean 4 for AI training and verification.
  • Company: Alignerr, a leader in AI research with a focus on precision.
  • Benefits: Fully remote, flexible hours, and a chance to work on cutting-edge projects.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Blend maths and computer science to make a real impact in AI verification.
  • Qualifications: Strong background in mathematics and experience with formal proof systems.

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

Alignerr is seeking a Researcher to formalize advanced mathematics in Lean 4 for AI training and verification.

The role blends mathematics and computer science, translating human arguments into machine-verifiable formalizations and advancing proof automation.

This is a fully remote, flexible contract for researchers who value precision and rigor.

The work focuses on translating proofs, testing proof assistants, and collaborating with teams to improve verification pipelines. #J-18808-Ljbffr

Remote Lean 4 & Formal Proof Researcher employer: Alignerr

Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote Lean 4 & Formal Proof Researcher

Advanced Mathematics
Lean 4
Formal Proofs
AI Training
Verification
Proof Automation
Translation of Human Arguments