AI Research Engineer - Scientific Discovery

Role Overview

Architect and design AI models specifically aimed at scientific discovery in materials science.

What You'll Do

• Research and implement cutting-edge AI architectures including diffusion models and LLMs for materials discovery
• Design models that can predict material properties and manufacturing viability
• Develop iterative exploration frameworks that combine AI predictions with experimental feedback
• Collaborate with domain experts to incorporate scientific constraints and validation into AI systems

What You Bring

• Background in deep learning research, particularly with generative models
• Interest in applying AI to scientific domains, preferably chemistry or materials science
• Understanding of multimodal learning approaches combining text, structural data, and experimental results
• Programming proficiency in Python and relevant ML frameworks

Nice to Have

• Publication record in AI/ML or computational chemistry
• Experience with molecular representation learning
• Background in reinforcement learning for scientific discovery

Benefits

• Competitive salary and equity
• Comprehensive health, dental, and vision insurance
• Generous PTO and parental leave