Principal AI Architect

Novyte Materials is building a frontier AI engine for materials discovery, a system that learns the structure, physics and governing rules of matter, and uses that intelligence to propose entirely new materials for real-world synthesis.

We operate at the intersection of machine learning, scientific computing and materials physics , where datasets are sparse, search spaces are astronomical, and model decisions directly influence real laboratory experiments.

If you want to work on AI systems that reason about the physical world, not ad ranking, recommendation systems or standard NLP, this is the place.

Location : Mumbai / Bangalore

Role Description

We are hiring a Founding AI Engineer to design and build the core intelligence layer of Novyte’s platform. This is an on-site role in Mumbai / Bangalore, working closely with the founder.

You will architect generative, predictive and physics-aware ML models that operate across multimodal scientific data : graphs, crystal structures, text, spectra, simulations and high-dimensional descriptors. Your work will meaningfully shape the technical DNA of the company.

This is a founder-level role with end-to-end ownership. You will :

• Design next-gen ML architectures (GNNs, Transformers, Diffusion-style models)
• Build physics-aware representation learning systems
• Develop active learning and RL-based exploration loops
• Create scalable training pipelines and distributed training workflows
• Integrate ML models with first-principles simulation and scientific data
• Define foundational research practices, abstractions and model standards
• Work cross-functionally with computational chemists, platform engineers and research partners

This is not a routine AIML job. You will work in a frontier scientific domain with deep ambiguity, high complexity and massive real-world impact.

Qualifications

Required

Bonus

What Novyte Offers