BeyondMath

A pioneering AI startup in the UK seeks a Senior AI Researcher to lead the development of AI models for Physics applications. You will architect novel machine learning solutions to solve complex problems in automotive, aerospace, and energy sectors. The role combines scientific research with practical engineering, ensuring models transition from theory to production. Ideal candidates will have an advanced degree in a quantitative field and extensive experience with AI and machine learning development, alongside a strong publication record.

Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

Senior Software Engineer BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. The Role You'll be responsible for contributing to the design, development, and scaling of the core software components powering our Generative Physics platform. This is a hands on role where you'll drive the development of our product into a robust, scalable platform, integrating cutting edge machine learning models, simulation tools, and a seamless user interface. Success in this role translates to delivering a tangible foundation that allows our development partners to experience the full potential of our AI driven design approach. Responsibilities System Architecture Design: Architect and implement a scalable, cloud native software platform capable of handling the complexities of large scale engineering data, AI driven simulations, and seamless user interactions. Prioritise maintainability, testability, and extensibility in design choices. Data Pipeline Engineering: Design and build robust, high throughput data pipelines to manage large volumes of engineering data. Ensure efficient data ingestion, transformation, storage, and retrieval from both internal simulations and external partner tools. Cloud Based Scalability, Reliability, and Security: Leverage cloud technologies (AWS) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimisation. Simulation Tool Integration: Develop APIs and interfaces to seamlessly integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners. AI Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI powered engineering design tools. Technical Leadership and Mentorship: Provide technical guidance and mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team. Essential Requirements Education: Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or a related field. Development Expertise: 5+ years of proven experience with full stack software development, including front end and back end technologies. Strong Python proficiency is essential. Cloud Technologies: Experience working with cloud platforms (AWS) and containerisation (Kubernetes, Docker). Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world leading AI labs and engineering firms in a culture of "impact with integrity."

A pioneering startup seeks a Senior Software Engineer to lead the design and development of a next-generation Generative Physics platform. You will create scalable systems to integrate cutting-edge AI models while mentoring engineers. The ideal candidate has 5+ years in full-stack software development, proficiency in Python, and experience with AWS. Join a team at the forefront of AI for engineering, shaping sustainable energy solutions and advanced transport systems.