AI-Driven Materials Discovery Scientist

Logical Intelligence; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Logical Intelligence seeks to accelerate materials discovery by building AI systems that propose and evaluate candidate molecules. You will work with chemists, physicists, and ML engineers to turn ideas into reusable models tested against lab data.

You’ll develop energy-based and diffusion models, and collaborate with partner labs to ensure synthesis and measurement yield informative feedback for continual learning.

Qualifications

• PhD or Master’s with hands-on ML in scientific problems.
• Experience building ML models for real scientific applications.
• Excellent scientific writing and communication in interdisciplinary teams.

Responsibilities

• Build and improve AI systems behind the discovery loop, including candidate generation and screening.
• Develop energy-based and diffusion models to search chemical space efficiently.
• Own model evaluation with benchmarks, uncertainty calibration, and prospective lab tests.
• Compare AI predictions with lab measurements and implement model improvements.
• Design experiments with partner labs to maximize information per synthesis/test cycle.

Skills

Machine learning

Computational chemistry

Physics background

PhD or MSc

Interdisciplinary collaboration

Hands-on ML in science

Education

PhD

Masters degree

Tools

Energy-based models

Diffusion models

Generative modeling

Molecular ML

Job description

Logical Intelligence seeks to accelerate materials discovery by building AI systems that propose and evaluate candidate molecules. You will work with chemists, physicists, and ML engineers to turn ideas into reusable models tested against lab data.

You’ll develop energy-based and diffusion models, and collaborate with partner labs to ensure synthesis and measurement yield informative feedback for continual learning.