SAP Analyst – REMOTE

ALTEN Polska
  • Post Date: 9 stycznia, 2025
    • 39080
  • Applications 0
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Job Overview

logoMachine Learning Applied ResearchImage Diffusion & Generation
M-XR OverviewWe’re a London based tech start-up revolutionizing 3D content creation with MARSO, our breakthrough material
capture technology. Using simple flash photography, MARSO precisely measures material properties of real-world objects, generating the world’s most accurate, shader-agnostic PBR materials. This technology works on simple
smart-phone scans all the way up to high end light-stage setups. This measured approach has established us as the industry standard for material accuracy, trusted by leading film studios and AAA game developers who rely
on our technology for their most demanding projects.
Our current flash-based capture process delivers unparalleled accuracy, but we’re now pushing boundaries further. Powered by our extensive library of measured
material data, we’re developing next-generation capture techniques that will make high-quality material acquisition accessible without flash photography.
As a rapidly growing startup with deep connections in film and gaming, we’re uniquely positioned at the intersection of technical innovation and creative production. Our technology is not just used but actively sought
after by major studios. We’re making photorealistic 3D asset creation accessible to everyone – from major studios to independent creators – while maintaining the exceptional quality that has earned us the trust of the
world’s most demanding content creators.
The RoleAs our Machine Learning Applied Researcher, you’ll pioneer new approaches to material property prediction by leveraging and advancing state-of-the-art image generation
techniques. You’ll work with our unique dataset to develop a sophisticated ML pipeline that combines pre-trained models (like CLIP, SAM, and StableDiffusion), fine-tuned architectures, and custom diffusion models. This
role offers the rare opportunity to push the boundaries of what’s possible with image generation and understanding, working at the intersection of diffusion models, computer vision, and materials science.You’ll be
developing novel approaches that might include:Creating bespoke diffusion models trained on our proprietary datasetAdapting and fine-tuning existing foundation models for material understandingDesigning innovative architectures
that combine frozen pre-trained models with custom componentsBuilding intermediate models for specific tasks like material segmentation or property classification
Key ResponsibilitiesDesign and implement custom diffusion models for material property predictionResearch and integrate state-of-the-art image generation models and techniquesCreate efficient training pipelines that leverage
transfer learning from existing modelsGuide our data capture team on gathering targeted training data for specific use casesResearch and implement latest advances in diffusion models, vision transformers, and multi-modal
learningCollaborate with engineering teams to deploy research into production systems
Technical RequirementsStrong experience with modern ML frameworks (PyTorch/JAX/TensorFlow)Proven track record implementing and training
diffusion modelsDeep understanding of foundation models and transfer learning techniquesExperience fine-tuning and adapting pre-trained modelsExpertise in computer vision and image processingUnderstanding of 3D graphics,
rendering, and material propertiesProduction-quality Python development skillsExperience with large-scale ML training and deployment
Ideal Candidate AttributesCreative problem-solving ability and research mindsetDeep understanding of current trends in generative AI and diffusion modelsSelf-directed while collaborating effectively with teamsClear communication
of complex technical conceptsFocus on scalable, production-ready solutions
Growth & DevelopmentWorking at M-XR offers unique opportunities for professional growth:Access to exclusive, high-quality datasets for research
and experimentationOpportunity to advance state-of-the-art in image generation and diffusion modelsDirect impact on cutting-edge technology used by major studiosLeadership potential as our ML team expands

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