Machine Learning Engineer (Computer Vision/Computer Graphics)

Engineering

London

About Loci

Loci is a machine learning platform for tagging, searching, and creating any form of 3D content.

AI has an important role in assisting 3D content creation. Loci’s ML platform helps enterprise clients understand their 3D content at scale and create entirely new 3D content much faster.

Loci uses state-of-the-art computer vision and computer graphics methods to fill this gap and provide enterprise clients tools to automatically label their 3D content, search for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts.

Quick Summary

🎬 Loci is a machine learning platform for tagging, searching, and creating any form of 3D content.

📌 The role is full-time based in London (in Paddington) with flexible hours and work-from-home options.

🦄 You will be an integral part of our founding team. If the idea of building something beautiful from the ground up with a lean, deliberately paced team excites you, this could be a dream opportunity.

⚒ Coding Skills Required: High proficiency in Python and Pytorch, (AWS experience is a bonus)

📕 Useful ML Knowledge: Generative models (e.g. GANs/Diffusion models), Text/Image encoders (e.g. CLIP), Neural Rendering (e.g. NeRF)

💶 Competitive salary & stock options plan.

🦄 We are backed by leading European VC funds.

About the Job

Loci is a machine learning platform for tagging, searching, and creating any form of 3D content.

Your role would be to implement & improve on state-of-the-art methods for generative text-to-3D models, as well as to continue to improve our 3D asset search and automated tagging products.

Generative text-to-3D models have come a long way in recent months, but there remains several interesting problems to solve:

  • Generating textures (along with geometry) that are compatible with existing rendering/gaming engines

  • Increasing the range of object categories that can be generated

  • Improving the resolution of the output mesh

  • Speed improvements

You will work closely with our ML Ops & Engineering team to implement methods aimed at solving these issues, and to deploy and productize your work.

Qualifications
  • Masters or PhD in Computer Vision / Computer Graphics/ Machine Learning or Software Engineering
  • Evidence of strong coding skills and ability to implement original methods from scratch (e.g. through past personal products)
  • Experience with AWS is a bonus
Benefits
  • Flexible work-from-home (If you do your best work from home, then we will support this as much as possible)
  • Office home set up (budget to help you set up a second work station wherever you need it)
  • Unlimited sick days & no holiday limit (We are results-driven and want you to take as much time off as you need to enjoy your life and come into work feeling energized)