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- Tasks: Lead AI research to revolutionise engineering with cutting-edge Physics-based models.
- Company: BeyondMath, a pioneering startup backed by top-tier VCs.
- Benefits: Full ownership of projects, high impact work, and collaboration with elite teams.
- Other info: Join a culture of impact with integrity and make a real difference.
- Why this job: Shape the future of sustainable energy and efficient transport through innovative AI solutions.
- Qualifications: PhD/MSc in relevant fields and 5+ years in AI/ML research.
The predicted salary is between 72000 - 108000 £ per year.
About BeyondMath
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
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: 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 the speed 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 AI Researcher employer: BeyondMath
Contact Detail:
BeyondMath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Researcher
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and engineering communities. Attend meetups, conferences, or even online webinars. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your experience with Physics-based Deep Learning. This is your chance to demonstrate how you can bridge theory and practice.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences at BeyondMath and express your enthusiasm for the position.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to reshape engineering with AI.
We think you need these skills to ace Senior AI Researcher
Some tips for your application 🫡
Show Your Passion for Physics and AI: When writing your application, let your enthusiasm for both physics and AI shine through. We want to see how your unique blend of scientific curiosity and engineering discipline can contribute to our mission at BeyondMath.
Highlight Relevant Experience: Make sure to detail your experience in AI/ML research, especially any projects where you've taken models from the lab to production. We’re looking for someone who has a proven track record, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your application to reflect the specific requirements of the Senior AI Researcher role. Mention your expertise in tools like PyTorch or TensorFlow, and any relevant publications that demonstrate your impact in the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of engineering with AI.
How to prepare for a job interview at BeyondMath
✨Know Your Physics and AI
Make sure you brush up on your knowledge of Physics-based Deep Learning and the specific models mentioned in the job description, like Transformers and GNNs. Be ready to discuss how these can be applied to solve complex partial differential equations and share any relevant experiences you've had.
✨Showcase Your Research Impact
Prepare to talk about your past research and how it transitioned from theory to production. Highlight any publications you've contributed to, especially in top-tier conferences like NeurIPS or ICML, and explain how your work has made a tangible impact in the field.
✨Demonstrate Systems Thinking
Be ready to discuss your experience with scalable training infrastructure and how you've tackled challenges in distributed training across GPU clusters. This is crucial for the role, so think of specific examples where you've optimised data pipelines or improved model performance.
✨Emphasise Collaboration Skills
Since this role involves cross-functional collaboration, prepare to share examples of how you've worked with other specialists, like CFD engineers or software developers. Highlight your ability to bridge the gap between research and practical application, ensuring models respect physical constraints while maintaining speed.