Generative AI Researcher - Atomistic Foundation Models
AchiraSan Francisco, California, United States • New York, New York, United States
Posted October 24, 2025
Full Time
About the Company
Achira is building foundation simulation models — large-scale models that learn the structure, dynamics, and energetics of the atomistic world.
Job Description
Invent the next generation of deep generative, representational, and simulation models for molecules and materials — building the foundation models that make the atomistic world learnable, predictable, and designable.
Requirements
- PhD or equivalent research experience in machine learning, physics, chemistry, computer science, or a related field.
- Proven expertise in deep generative modeling (e.g., diffusion, VAEs, flows, autoregressive transformers).
- Experience in representation learning for structured data, especially graph or 3D geometric models (GNNs, SE(3)/E(3)-equivariant networks, geometric transformers).
- Proficiency in Python and modern ML frameworks (PyTorch, JAX) plus scientific libraries (NumPy, SciPy).
- Solid grounding in probability, optimization, and deep learning fundamentals.
- Demonstrated research impact through publications, open-source contributions, or released models.
