Genesis Molecular AI
Genesis Molecular AI develops GEMS, a generative and predictive molecular AI platform that designs and optimizes small‑molecule drug candidates, including the Pearl diffusion model for structure prediction. The company advances an internal discovery pipeline and partners with pharma on AI‑enabled discovery; recent collaborations include Gilead (2024) and Incyte (2025). It is privately held, headquartered in Burlingame, California, with a fully integrated laboratory in San Diego.
Open Positions at Genesis Molecular AI
4 open positions
Build and evolve a full-stack platform that helps computational chemists explore data, manage experiments, visualize molecules and proteins, and accelerate AI-driven drug discovery. This role offers broad ownership across frontend, backend, data infrastructure, and scientific workflows.
Build and scale multi-cloud infrastructure that powers machine learning training, computational chemistry, and drug discovery at Genesis Molecular AI. You’ll improve orchestration, autoscaling, monitoring, deployment automation, and compute utilization across large heterogeneous workloads.
Build the orchestration platform and large-scale data pipelines that power Genesis Molecular AI’s protein, chemical, and machine learning workflows. This hands-on role combines workflow-engine design, distributed systems, performance optimization, and scientific data infrastructure.
Build and scale foundation models for molecular science, translating cutting-edge ML research into production systems that support drug discovery. This role combines large-scale model engineering, GPU optimization, and interdisciplinary collaboration with computational chemists and biologists.