AI Research Scientist —Generative AI for Materials Discovery

Highlights

• Pioneer generative AI to design novel compounds for next-gen AR/VR devices.
• Build autonomous discovery platform linking molecular design to lab validation.
• Create breakthrough materials enabling low-cost, all-day wearable AR.

What they offer

• bonus
• equity
• benefits

Ideal candidate

PhD researcher passionate about using generative modeling to accelerate real-world materials discovery. Thrives collaborating across chemistry, robotics, and AI to take ideas from model to lab validation.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering or related technical field
• PhD in Machine Learning, Computational Chemistry, Materials Science or related field
• 3+ years of research experience in generative modeling for molecular or materials systems
• Expertise in deep generative models for 3D molecular or crystal structure generation
• Proficiency in Python with PyTorch or JAX for large-scale deep learning models
• First-author publications in top-tier ML or computational chemistry venues
• Understanding of crystallography and molecular representations
• Familiarity with large-scale molecular and crystal databases and pipelines