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Job Description

Fullstack Software Engineer (Senior / Staff)

Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.

You will

  • Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight

  • Build and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows

  • Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction

  • Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs

You are

  • A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem

  • Comfortable owning problems across the entire stack — frontend interfaces, backend services, data pipelines, and infrastructure

  • Experienced shipping production code and driving projects end-to-end with minimal hand-holding

  • Excited to work at the intersection of software engineering, drug discovery, and machine learning

What we offer

  • The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines

  • Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas

  • Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program

About Genesis Molecular AI

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our 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 is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.

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.

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Genesis Molecular AI
Healthcare & Life Sciences · 500+ Members · Burlingame, CA, United States

Genesis Molecular AI develops foundation models for molecular discovery and drug development. Its GEMS platform combines generative and predictive AI with physics-based methods to model molecular interactions, generate compounds, and optimize potential medicines. The company works at the intersection of machine learning, chemistry, biology, and physical simulation. Its models are intended to shorten design cycles and improve decisions about which molecules to synthesize and test, including difficult problems such as predicting protein-ligand structures and properties.

All jobs at Genesis Molecular AI

Approx. salary range

209K – 231K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 17 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility

United States

Right to work in the United States required.

Workplace

Hybrid

Job Overview
Job Posted:
6 months ago
Job Type
Full Time
Education
Any
Experience
8-9 years

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