At a Glance
- Tasks: Lead the design and development of AI generative design systems for construction.
- Company: Innovative start-up revolutionising the construction industry with AI technology.
- Benefits: Competitive salary, equity options, and a chance to shape company culture.
- Other info: Opportunity to influence technology and product strategy from the ground up.
- Why this job: Join a pioneering team and make a real impact in transforming construction through AI.
- Qualifications: Experience with Graph AI models and exceptional coding skills in PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
GLIGE (www. glige. co. uk) is an early-stage start-up focused on developing AI Generative Design to industrialise construction.
We aim to revolutionise how buildings and infrastructure are designed, manufactured and delivered by developing advanced AI generative design models.
As a growing organisation, GLIGE offers the chance to help shape its technology, culture, and product strategy from the start.
A mix of salary and equity can be awarded for the right candidate.
Role Description
We are seeking an AI scientist to co-lead the design, development, and deployment of an AI generative design system for the industrialisation of construction.
On a day-to-day basis, you will architect core Graph-based (GNN) and PDE-based (PNN) AI models, build and iterate early AI prototypes at speed, and translate early users’ feedback into technical roadmaps .
Qualifications
- Experience with Graph AI models, including Graph Neural Networks, and/or Physics-constrained neural networks, including Partial Differential Equations, demonstrated through research publications or direct working experience.
- Passion and desire to resolve real-world problems, not just research. Industry expertise is less relevant (construction or pharma/Clinical).
- Exceptional coding skills with a strong command of modern software practice, including Py Torch.
- A Ph D in a relevant field (Computer Science, Physics, Applied Mathematics, Machine Learning, Computational Science) with a strong foundation in GNN, Diffusion models and PDE.
A Master’s in the above discipline with 3-7 years of direct work experience on GNN, Diffusion models and physics-informed neural networks can be considered.
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AI Research And Development Specialist- Team Lead employer: GLIGE
At GLIGE, we are not just building AI technology; we are crafting a revolutionary approach to construction that empowers our team to innovate and lead from the ground up. As an early-stage start-up, we offer a dynamic work culture that values creativity and collaboration, alongside competitive salary packages and equity options for the right candidates. Join us in shaping the future of design and infrastructure, where your contributions will directly impact our growth and success.
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We think you need these skills to ace AI Research And Development Specialist- Team Lead
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