Machine Learning Researcher at Augur Initiative Ltd | England, United Kingdom | Rezi

Machine Learning Researcher at Augur Initiative Ltd

Machine Learning Researcher

Augur Initiative Ltd · England, United Kingdom

1 months ago

Machine Learning Researcher

Augur Initiative Ltd · England, United Kingdom

a month ago
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About the Role

This role sits at the intersection of cutting-edge research and mission-critical deployment. You will own research directions end-to-end, developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision-language modelling. You will formulate problems, design experiments, and drive your work from prototype through to production-grade systems that power real-time spatial intelligence across complex environments. We aim to publish at top venues and deploy at scale, and we're looking for researchers who want to do both. The role includes opportunities to shape Augur's research roadmap, mentor junior researchers and interns, and strengthen our presence in the research community.

Responsibilities

  • Own research directions end-to-end
  • Develop novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision-language modelling
  • Formulate problems
  • Design experiments
  • Drive work from prototype through to production-grade systems
  • Shape Augur's research roadmap
  • Mentor junior researchers and interns
  • Strengthen Augur's presence in the research community

Requirements

  • PhD (or Master's with equivalent research experience) in Computer Vision, Machine Learning, or a related discipline
  • Published work at leading journals or conferences is considered a strong plus
  • Deep expertise in areas such as metric learning, multi-view geometry, depth estimation, 3D scene understanding, rendering techniques, feature-based tracking, self-supervised learning, or learning-based mapping and localisation
  • Strong Python and PyTorch skills
  • Ability to write testable, production-quality code
  • Ability to participate actively in code reviews
  • Capable of independently formulating research problems
  • Capable of independently defining technical direction
  • Capable of independently communicating findings clearly in both writing and discussion

Skills

  • Computer Vision
  • Deep Learning
  • Metric Learning
  • 3D Geometry
  • Vision-Language Modelling
  • Python
  • PyTorch

Location

  • London

Work Type

  • On-site at least two days weekly
  • One day being a Thursday

Experience Level

  • PhD or Master's with equivalent research experience

Education Level

  • PhD or Master's degree

About the Company

  • Augur transforms legacy sensor systems into real-time operational intelligence.
  • Augur helps organisations act before threats escalate – not after damage is done.
  • Everything Augur builds is privacy-first by design.
  • Augur's platform connects to existing cameras and sensors to detect threats, retrace events, and surface real-time insights – all without replacing a single device.
  • Augur helps teams reduce risk, cut costs, and grow revenue through better visibility, faster decisions, and fewer blind spots.
  • Augur's culture is built on a foundation of radical candor and mutual trust.
  • Augur recognizes that being an industry leader requires more than just building exceptional products – it requires empowering a team of exceptional people.
  • Individually, Augur employees operate with high autonomy; collectively, they’re unified by a shared drive to achieve their mission through a commitment to excellence.

Equal Opportunity

  • At Augur, our culture is built on radical candor and mutual trust.
  • To solve the complex, physical-world problems our customers face, we need a team that thinks differently.
  • Whether you’re self-taught, have a non-traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you.
  • We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work.