Achira

You'll manage daily operations for a fast-growing drug discovery startup, overseeing office logistics, vendors, and employee experience. You'll build foundational systems and processes that support a mission-driven team. This role offers the chance to shape culture in a high-growth environment.

You'll join a team of scientists and engineers developing **physics-grounded models** for drug discovery. You will **shape training data strategy** and own structure curation for protein-ligand systems, interpreting model successes and failures. This role offers a chance to work at the frontier of **AI x chemistry** in a well-funded, talent-dense organization.

You will work at the intersection of cutting-edge machine learning and rigorous research workflows to design and scale intelligent training systems for atomistic simulation models. Your role involves building foundations for training these models at scale, diving into architecture, data, optimizers, and representation learning to unlock their full potential. You'll help invent playbooks for pretraining foundation simulation models and contribute to transforming drug discovery through pioneering models that simulate the physical world with unprecedented speed and fidelity.

You'll invent next-generation deep generative models for molecules and materials, building foundation models for the atomistic world. Your work will bridge generative AI, probabilistic reasoning, and molecular physics. **Design and train frontier models** like diffusion and autoregressive architectures, **develop expressive representations** using equivariant graph neural networks, and **invent advanced sampling methods** integrating probabilistic inference.

You'll invent and exploit **probabilistic generative models** using diffusion models, normalizing flows, and flow matching for **drug discovery** at Achira. You'll drive measurable gains in molecular design and biomolecular conformational sampling.

You'll architect and build distributed compute infrastructure for ML data generation, model training, and fine-tuning at a world-class drug discovery company. You'll own impactful work end-to-end, from ideation to deployment, ensuring **compute efficiency** and **cluster reliability** across large-scale systems. This role offers the chance to push boundaries in **distributed systems** and cloud cost optimization.

You'll architect ML systems for molecular drug discovery at a well-funded startup. You'll own impactful work end-to-end, from ideation to deployment on **distributed infrastructure**, enabling experiments at the **frontier of foundation simulation models**.

You'll advance foundation models for molecular simulation at a well-funded AI x chemistry startup. You'll own impactful work end-to-end, from ideation to deployment on **distributed infrastructure**, working with a world-class team to **push the boundaries of AI for drug discovery**.