ML Research Engineer, Foundation Models About The Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI , we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers.

Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that unlock new therapies for patients with severe diseases . We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry , pushing the boundaries of each field.

The Genesis AI team is building the engine for this revolution. We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines.

The work sits at the intersection of machine learning research, structural biology, and computational chemistry , requiring deep technical rigor and strong interdisciplinary collaboration.

About The Role This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering .

As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science .

You will partner closely with ML researchers, computational chemists, and drug discovery scientists to translate cutting-edge model ideas into systems that power real drug discovery programs .

Your Work May Involve

• Scaling model pretraining pipelines
• Advancing reinforcement learning or post-training systems
• Optimizing performance of large molecular models
• Bringing structure prediction models like Pearl into production environments used by chemists and drug programs

This role requires someone who can bridge ML and computational chemistry , translating between disciplines and helping teams move quickly from research insight to deployed capability.

We are looking for someone who can own problems end-to-end , in a fast-moving research environment , translating novel ML ideas into systems that scientists can use in active discovery programs.

Positions are available at various levels of seniority: Senior, Staff, and Principal. You Will

Who You Are

Nice to haves

• Experience with novel research in one or more of the following domains: LLMs, diffusion, reinforcement learning or other cutting edge generative or predictive machine learning models.
• Computational chemistry or drug discovery systems Especially experience related to protein-ligand structure prediction, small-molecule modeling, or computational drug discovery workflows.
• Generative modeling methods Diffusion models or other generative architectures applied to scientific or molecular problems.
• LLM post-training techniques Experience with SFT, RLHF, synthetic data pipelines, or other post-training systems.

What We Offer

• Competitive compensation package that includes salary and equity.
• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
• 401(k) plan.
• Open (unlimited) PTO policy.
• Free lunches and dinners at our offices.
• Paid family leave (maternity and paternity).
• Life and long- and short-term disability insurance.

About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets.

Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.