Generative AI Scientist for Materials Discovery

Meta; Pasadena (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Comprehensive benefits

Job summary

Meta’s Reality Labs Research is seeking a researcher to develop generative models for molecular and crystal structure generation. You will work closely with AI agents and computational chemists to innovate in materials science.

The ideal candidate has at least 3 years of experience in generative modeling, proficiency in Python (PyTorch or JAX), and a strong record of publications. A competitive compensation package is offered, including a salary range of $154,000 to $217,000 annually plus bonus and equity.

Qualifications

• 3+ years of research experience in generative modeling applied to molecular systems or materials science.
• Demonstrated expertise in deep generative models and applications to molecular or crystal structure generation.
• Programming proficiency in Python with experience in PyTorch or JAX.

Responsibilities

• Develop generative models for molecular and crystal structure generation.
• Collaborate with computational chemists and AI agents.
• Curate and manage large-scale molecular datasets for model training.

Skills

Generative modeling

Deep learning

Programming in Python

Data processing pipelines

Education

3+ years of research experience

Tools

PyTorch

JAX

Job description

Meta’s Reality Labs Research is seeking a researcher to develop generative models for molecular and crystal structure generation. You will work closely with AI agents and computational chemists to innovate in materials science.

The ideal candidate has at least 3 years of experience in generative modeling, proficiency in Python (PyTorch or JAX), and a strong record of publications. A competitive compensation package is offered, including a salary range of $154,000 to $217,000 annually plus bonus and equity.