Summary

M-XR is a deep tech startup with a mission to make the 3D digital world look real; whether that be the graphics in a computer game, the CGI in a movie, or a product line photoshoot. We are building a solution that empowers 3D creators and enables the creation of productions at a speed, scale and quality not found anywhere else in the industry. Over the past three years we’ve developed foundational technology capable of capturing real world objects and accurately predicting their material properties, enabling the creation of ultra-realistic production-ready digital copies.

Curiosity and creativity are at the heart of M-XR. We feel strong that asking questions and looking at problems from new perspectives across departments is key to pushing the envelope for what is possible! We are looking for skilled individuals who share this passionate curiosity, question the norm, and have the willingness to explore something brand new. If you are an engineer or developer that shares this passion about shaping the future of 3D we would love to hear from you.

Description of work to be performed

As a Machine Learning Engineer at M-XR specialising in image diffusion models, you will play a pivotal role in advancing our capabilities by developing state-of-the-art machine learning models to tackle some of our most challenging problems.

With access to M-XR’s proprietary dataset—the highest-quality ultra-realistic 3D dataset of its kind—you’ll work on groundbreaking projects that redefine the boundaries of machine learning and 3D technology. Your work will focus on extracting ultra-realistic material properties from single-shot images and enabling precise, controlled alterations to the appearance of 3D objects. To achieve this, you will design and refine image and video-based diffusion models, either building them from the ground up or enhancing existing open-source frameworks.

A core aspect of your role will also involve adapting, implementing, and improving upon open-source models such as SAM, Stable Diffusion, CLIP, DINO, NeRF, and 3DGS, tailoring them to address M-XR’s unique use cases.

Your contributions will directly set new standards for realism and quality in 3D content creation, with applications in major film and game productions. This role offers a rare opportunity to solve complex technical challenges, develop cutting-edge technology, and see the tangible impact of your innovations in the entertainment industry.

Ideal Candidate

• Creative and innovative thinker

• Resourceful and effective problem-solver

• Clear, articulate, and proactive communicator

• Strong user-focused mindset

• Collaborative and supportive team player

Requirements

• Proficiency with a leading ML framework (e.g., PyTorch, JAX, TensorFlow)

• Expertise in writing production-quality Python code

• Experience with Git and version control systems

• Hands-on experience in developing and training diffusion models

• Strong understanding of neural networks and optimisation techniques

• Familiarity with large-scale dataset management and preprocessing

• Knowledge of computer graphics (advantageous)

Please ensure your CV is attached.

Best,

M-XR Team