🚀 ZLikeness – Build Revolutionary 3D Head Reconstruction Tech
Join us on a mission to revolutionize digital 3D creation. ZLikeness is pushing the boundaries of computer vision and deep learning to create photorealistic 3D head reconstructions from simple images.
🧠 ABOUT THE ROLE
We're looking for an exceptional Computer Vision Engineer who will be at the heart of our AI pipeline. You'll architect, train, and deploy cutting-edge deep learning models that transform 2D photos into production-ready 3D assets with unprecedented realism and likeness accuracy.
This isn't just another engineering role – you'll have direct ownership of the core technology, working on some of the most challenging problems in 3D reconstruction and generative AI.
💡 WHAT YOU'LL DO
• Design and implement advanced 3D reconstruction pipelines using NeRF, GANs, diffusion models, and multi-view geometry
• Train and optimize deep learning models on GPU infrastructure (RunPod, Google Cloud)
• Build robust computer vision algorithms for facial landmark detection, topology generation, and texture synthesis
• Prototype and iterate rapidly on novel approaches to achieve photorealistic likeness
• Deploy models to production with strong engineering practices (testing, monitoring, optimization)
• Collaborate directly with the founder on product vision and technical strategy
🔥 MUST-HAVE SKILLS
• Strong expertise in Computer Vision and 3D reconstruction (multi-view geometry, photogrammetry, neural rendering)
• Deep knowledge of modern deep learning architectures (PyTorch required)
• Solid mathematical foundation: 3D geometry, linear algebra, optimization
• Experience with NeRF, GANs, diffusion models, or similar generative approaches
• Excellent Python skills and clean coding practices
• Proven ability to take research concepts to production-ready implementations
🌟 NICE-TO-HAVE
• Experience with 3D graphics pipelines (Blender, meshes, UV mapping, textures)
• Background in facial reconstruction, digital humans, or character creation
• Familiarity with medical/anatomical imaging or animation workflows
• Published research or strong open-source contributions in CV/3D/ML
• Experience training large models on distributed GPU infrastructure
⚡ WHY JOIN ZLIKENESS?
• Direct impact on cutting-edge product – your work will define the platform
• Full ownership of the 3D vision pipeline from research to production
• Work with state-of-the-art technologies (latest models, GPU clusters, research papers)
• Remote-first, flexible work environment in France
• Opportunity to publish, present at conferences, and contribute to open source
• Competitive compensation + equity as an early team member
• Be part of a groundbreaking startup at the intersection of AI, 3D graphics, and digital creation
🎯 IDEAL CANDIDATE PROFILE
You're a technical polymath who thrives on hard problems. You love diving deep into research papers, prototyping novel ideas, and turning them into robust production systems. You're comfortable with ambiguity and excited to explore uncharted territory in 3D AI. You want ownership, impact, and the chance to build something revolutionary from the ground up.
📍 LOCATION: Remote (France preferred, but open to EU timezone)
💼 TYPE: Full-time
🚀 START: ASAP
Ready to revolutionize 3D creation? Let's build the future together.
