About the job
Join Achira in shaping the future of deep learning with cutting-edge generative, representational, and simulation models for molecules and materials. Our mission is to create foundational models that render the atomistic universe understandable, predictable, and designable.
Why Choose Achira?
Be part of an elite, cross-disciplinary team comprising ML researchers, physicists, chemists, and engineers who are redefining atomistic simulation through expansive foundation models.
Advance the integration of deep learning with the principles of nature, merging generative AI, probabilistic reasoning, and molecular physics.
Engage in projects at an unparalleled scale, tackling extensive datasets, computational challenges, and ambitious goals.
Take full ownership of your research journey — from ideation and architecture to training, evaluation, and deployment.
Flourish in a dynamic culture that values rigor, speed, creativity, and impact over bureaucracy.
Position Overview
As a Generative AI Researcher at Achira, you will contribute to the development of foundation simulation models — large-scale systems designed to learn the structure, dynamics, and energetics of the atomistic realm. These models will unite deep representation learning, generative modeling, and sophisticated simulation techniques.
Your responsibilities will include:
Crafting and training state-of-the-art deep generative models — including diffusion, autoregressive, flow-based, and latent-variable architectures focused on molecules, materials, and atomic systems.
Creating expressive representations of molecular and atomistic structures and dynamics utilizing equivariant graph neural networks, geometric transformers, and latent encoders that respect physical symmetries and constraints.
Innovating advanced sampling and simulation techniques that blend probabilistic inference, deep learning, and reinforcement learning to facilitate efficient exploration and simulation of learned energy landscapes.
Developing models that comprehend, generate, and simulate the physical world, merging reasoning, simulation, and predictive capabilities.
Working collaboratively with physicists and chemists to validate models against ab initio, molecular dynamics, and experimental datasets.
Rapidly prototyping, benchmarking, and iterating — converting research concepts into reusable, scalable model components across Achira’s foundation model suite.
