Research Engineer

SpAItial

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments. We are looking for a research engineer with a deep graphics understanding to bridge the gap between high-end rendering and frontier AI. You will lead the creation of the synthetic engines that power our models, designing scalable pipelines that generate the ground-truth reality for our next-generation world models. If you are a graphics expert who wants to move beyond visual effects and start building the training grounds for world Intelligence, we want you on our team. Responsibilities * Design and architect high-fidelity synthetic data engines to train large-scale World Models. * Develop and scale automated rendering pipelines to generate diverse, physically-consistent 3D environments. * Integrate and refine rendering workflows using tools like Blender, Unity, 3DMax, or equivalent platforms. * Work with our world-class research team to ensure datasets and synthetic data workflows align with our world model training objectives. Key Qualifications * Strong background in computer graphics with a proven track record of building complex rendering systems or high-fidelity simulation environments. * Deep understanding of 3D representations (meshes, voxels, point clouds, implicit surfaces, etc.); knowledge in 3D Gaussian Splatting and volumetric rendering is a nice to have. * Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software. * Bachelor’s, Master’s, or equivalent experience in computer science, graphics, or related fields. * Nice to have: experience, or ambition to work with procedural generation tools and techniques. * Background in large-scale data workflows for AI/ML model training. At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

SpAItial

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments. We're looking for bold, innovative individuals driven by a passion for pushing the boundaries of generative 3D AI. You should thrive in an environment where creativity meets technical challenge and be fearless in tackling the hardest problems in 3D world modeling. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of SpAItial, you'll be at the forefront of building World Models that bridge generative AI and the physical world. If you're ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you. We're seeking a Research Engineer to develop cutting-edge generative methods that create physically-grounded 3D environments. You will work on building, training, evaluating, and optimizing models that generate high-quality 3D content from images, video, and other inputs—with a focus on world-scale scenes that understand geometry, physics, and spatial consistency. This role is ideal for early-career engineers who have strong fundamentals in machine learning and 3D data processing, are passionate about generative models, and want to help define the next generation of World Model systems. Responsibilities * Design and develop cutting-edge generative 3D machine learning methods for creating high-quality 3D content from images, video, and other inputs. * Build, train, optimize, evaluate models for 3D reconstruction, novel view synthesis, and world generation. * Implement and experiment with state-of-the-art 3D representations including point clouds, meshes, and 3D Gaussian Splatting. * Develop training pipelines and loss functions that improve geometry accuracy, visual fidelity, and consistency. * Collaborate with researchers to integrate physics-aware priors and world model capabilities into generative systems. * Analyze model performance, debug failure cases, and iterate rapidly to improve quality and robustness. Key Qualifications * Bachelor's or Master's degree, or equivalent project/research experience, in computer science, machine learning, computer vision, graphics, robotics, or a related field. * Strong fundamentals in deep learning and generative models, in particular diffusion models and transformers. * Solid understanding of 3D processing concepts such as camera geometry, depth, reconstruction, point clouds, meshes, or Gaussian splats. * Proficiency in Python and deep learning frameworks such as PyTorch, with experience in model training and optimization. * Ability to implement research papers, run experiments, and iterate quickly on new ideas. * Strong coding skills and passion for building reliable, scalable ML systems. At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

Graphcore

ABOUT GRAPHCORE At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. JOB SUMMARY As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.   THE TEAM Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you! RESPONSIBILITIES AND DUTIES * Generate AI/ML ideas, design experiments, implement them & evaluate results. * Prepare, submit & present your work to AI conferences and workshops. * Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. * Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.   ABOUT YOU: Essential: *  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). * Python programming in a modern deep learning framework, e.g. PyTorch or JAX. * Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. * Capable of designing, executing and reporting from ML experiments. * Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton. * Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. * Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: * Mathematics skills to support the above: calculus, probability theory and linear algebra. * Experience submitting papers to international scientific conferences or workshops.   BENEFITS In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.   Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications