Funding (reported): Seed round(s) with reported totals including $8.5M and company materials referencing $18.5M

You'll work closely with our ML research team, software engineers, and industry partners to deploy robust, scalable models that deliver real-world impact.

Responsibilities

• Physics-Focused AI Model Development: Design and train deep learning models for physics simulation across aerodynamic and engineering domains.
• Scalability & Performance: Drive optimization efforts for model inference speed, accuracy, and robustness on large-scale industrial datasets.
• Geometry Representation : Research effective ways to represent geometric design variations for efficient use by machine learning models.
• Production Integration: Partner with engineering teams to deploy and monitor models in production-grade pipelines and tools.
• Architecture & Design: Contribute to design decisions around model and data architecture, tooling, and ML infrastructure.

Essential Requirements

• Industrial Experience: Strong track record applying ML to complex real-world problems (ideally including geometry or physical systems).
• Foundational Knowledge : Deep understanding of machine learning theory, including optimization, generalisation, and various model architectures.
• Programming : Strong python skills and experience with deep learning libraries (TensorFlow/PyTorch/JAX).
• Communication : Ability to clearly explain complex ML concepts and research findings to both technical and non-technical audiences.
• Education : Master's Degree (PhD preferred) in Machine Learning, Computer Science, or a related quantitative field.

Highly Desirable

• Aerodynamics/CFD Expertise: Familiarity with aerodynamic principles and computational fluid dynamics is a major plus.
• Design Optimization: Prior experience in optimization algorithms, particularly in the context of engineering design.
• Physics/Science ML: Experience integrating physical laws or constraints into machine learning models.

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."