Research Engineer - Graphics

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.

Recraft

ABOUT US Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 190+ countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board! JOB DESCRIPTION We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. KEY RESPONSIBILITIES * Develop and train large-scale generative models, pushing the boundaries of AI capabilities. * Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements. * Continuously innovate by developing and deploying new features that enhance user experiences. ‍ REQUIREMENTS * Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models). * Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. * Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. * Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. * Strong software engineering skills, ability to design, implement and maintain high-quality code. * English: B2+ (Upper-Intermediate or above), written and spoken. ‍ WHAT WE OFFER * Competitive salary and equity. * Opportunities for professional growth and leadership. * A collaborative, research-driven environment. * The chance to work on cutting-edge AI projects that redefine creative workflows. * The opportunity to contribute to open-source AI research and publications. * Full-time, on-site role. * We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates. ‍

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   Research Scientist - Applied Large Language Models  YOUR IMPACT  As a Research Scientist focused on the application of Large Language Models (LLMs), you will play an exciting role in bringing cutting edge technologies to bear across our research areas to transform the drug discovery world as we know it.  Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading research scientists and engineers to conceive, design, and develop cutting edge LLM applications that help to unlock new modelling capabilities and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep understanding and experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Depending on your experience: You will both partner with teams across our existing research areas and create and lead standalone projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems through the application of LLMs - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs. You will be instrumental in leading machine learning based research projects, building the models, and algorithms that will power our platform to drive us close to achieving our ambitious mission to one day solve all disease with the help of AI. What you will do * Contribute to core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discovery * Develop and refine LLM-driven approaches for multiple use cases across our research areas, using your extensive knowledge of the field to modify and apply models and explore their capabilities when applied to complex biological and medical challenges. * Identify and create novel ML techniques and the required data to train and apply models * Analyse and tune experimental results to inform future experimental directions. * Implement and scale training and inference engineering frameworks * Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines * Iterate collaboratively with scientists and domain experts, sharing your own domain experience * Suggest and engage in team collaborations to meet ambitious research goals Depending on your experience: * Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. * Provide developmental support to other ML research scientists. * Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture. SKILLS AND QUALIFICATIONS  Essential * PhD or equivalent practical experience in a technical field * Highly specialized LLM builder with a passion for, and strong experience in, applying LLMs to novel problem spaces * Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs, including deployment for bespoke use cases and applications, established experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning  * Strong knowledge of linear algebra, calculus and statistics. * Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. * Depending on your experience: project supervision, leadership, or management. * Strong knowledge of LLM landscape today, and likely developments for the near future * Experience working with real-world datasets. Nice to have * PhD in machine learning or computer science. * Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. * A strong background in biology or medicine, enabling you to bridge the gap between advanced AI capabilities and complex scientific problems in drug discovery * Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics), and with real world biological or chemical datasets and biological or chemistry software * Experience in computational chemistry, bioinformatics, or related fields would be highly beneficial, along with a track record of applying AI to real-world scientific challenges * Experience with multi-parameter optimization * Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs