Machine Learning Engineer - Generative AI
3 days ago
London
We are seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning and computer graphics, collaborating closely with rendering and engine teams to integrate cutting-edge AI into production-grade pipelines. You will tackle challenging problems such as low-latency inference, controllable generation, and deploying generative models within real-time rendering systems. Minimum Qualifications Bachelor’s degree with 4+ years of relevant industry experience. • Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers)., • Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)., • Advanced programming skills in Python., • Solid understanding of model training, evaluation, and scaling., • Strong problem-solving, analytical, and communication skills., • Ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications • Experience with 3D vision, neural rendering, or photorealistic rendering pipelines., • Familiarity with rendering engines (e.g., Unreal Engine, Unity) or custom 3D engines., • Experience with multimodal and foundation models (e.g., text-to-3D, video generation)., • Knowledge of NeRFs, Gaussian splatting, or neural scene representations., • Experience optimizing models for real-time inference (TensorRT, ONNX, quantization, distillation)., • GPU programming experience (CUDA, Triton, or similar)., • Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV)., • Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems)., • Contributions to open-source projects or collaboration with research labs. Key Responsibilities • Develop and optimize state-of-the-art generative AI systems (diffusion, transformer-based models) for real-time photorealistic rendering and 3D applications., • Design pipelines for controllable, high-fidelity, low-latency generation within rendering systems., • Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines., • Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation., • Advance techniques in neural rendering, scene generation, and AI-driven photorealism., • Improve model efficiency, scalability, and deployment performance., • Stay up to date with the latest research and rapidly experiment with emerging approaches., • Work cross-functionally to align technical solutions with product and business goals. What We Offer • The opportunity to work at the intersection of generative AI, 3D vision, and real-time photorealistic rendering., • A fast-moving, research-driven environment with real product impact., • A culture that values technical excellence, ownership, and creativity., • Very attractive salary If you are passionate about generative AI, real-time photorealistic rendering, and 3D systems, and want to help build the next generation of AI-driven graphics pipelines, we’d love to hear from you.