Engineering

Business Development

Accounting

Product Management

Information Technology

Research

Human Resources

Finance

Program and Project Management

Founder and CEO

Chief Technology Officer

Raises $4.1M in Seed Funding Led by Andreessen Horowitz

Genesis Therapeutics Raises $52M in Series A Funding

A16z-Backed AI Biotech Startup Genesis Therapeutics Raises $200M

NeurIPS 2025: Biology’s Transformer Moment

Product Management Lead

Genesis Molecular AI is pioneering a transformative approach to drug discovery by leveraging state-of-the-art machine learning, computational chemistry, and biology. The Product Management Lead will bridge domain silos and drive product strategy, ensuring effective collaboration across technical and scientific teams to revolutionize drug discovery.

Infrastructure Engineer

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The role involves maintaining and growing multi-cloud compute infrastructure that supports machine learning model training and computational chemistry research.

Software Engineer - Core Infrastructure

Genesis Therapeutics is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. They are looking for an Infrastructure Engineer to maintain and grow their multi-cloud compute infrastructure that supports ML model training and drug discovery efforts.

Head of Platform Engineering

Genesis Molecular AI is at the frontier of applying large-scale AI to drug discovery, and they are seeking a Head of Platform Engineering to lead their infrastructure efforts. This role focuses on building reliable platforms for AI-driven drug discovery and leading a high-impact engineering team.

Genesis Molecular AI is at the frontier of applying large-scale AI to drug discovery, and they are seeking a Head of Platform Engineering to lead their infrastructure. This role involves owning the platform and infrastructure strategy, designing systems for large-scale AI workloads, and mentoring a high-impact engineering team.

Software Engineer - ML Infrastructure

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. We’re seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems. The role involves leading the development of scalable and robust distributed infrastructure for ML training, inference, and evaluation.

Genesis Therapeutics is focused on driving AI innovation in biochemistry to discover and develop groundbreaking therapies. They are seeking experienced ML infrastructure engineers to lead efforts in enhancing their AI platform and infrastructure for molecular systems modeling.

ML Research Intern

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The ML Research Intern will operate as a full member of the research team, driving forward the ML research agenda for generative modeling of molecular systems and working on high-impact research projects at the frontier of generative AI.

ML Research Intern, PhD - 2026

ML Research Engineer, Foundation Models

Genesis Molecular AI is a pioneering company in the field of molecular AI, focusing on foundation models to advance drug design and development. The ML Research Engineer will be responsible for driving R&D and scaling of foundation models, collaborating closely with research scientists to implement and optimize high-performance models for drug discovery.

ML Research Engineer, Foundation Models (Senior / Staff / Principal)

Genesis Therapeutics is a pioneering company in molecular AI, aiming to unlock new drug design and development through advanced generative models. The ML Research Intern will contribute to high-impact research projects in generative AI for molecular systems, collaborating with top researchers and focusing on novel foundation models.