---
title: 'Fullstack Software Engineer (Senior / Staff) at Genesis Molecular AI'
canonical: 'https://feeny.ai/job/fullstack-software-engineer-senior-staff-genesis-molecular-ai-san-mateo-pap6516adm11'
type: 'job'
last_seen: '2026-09-07'
---

# Fullstack Software Engineer (Senior / Staff) at Genesis Molecular AI

- **Company:** Genesis Molecular AI
- **Location:** San Mateo, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/genesis-molecular-ai/724a570b-6a8f-40bb-876c-353c754e367f

## 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 http://genesis.ml 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 https://www.businesswire.com/news/home/20251028030745/en/Genesis-Molecular-AI-Unveils-Pearl-a-Field-Leading-Foundation-Model-that-Achieves-Unprecedented-Performance-in-Drug-Protein-Structure-Prediction 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 https://www.forbes.com/sites/innovationrx/2026/05/20/inside-incytes-120-million-ai-for-drug-development-deal/ and GEN https://www.genengnews.com/topics/artificial-intelligence/small-molecules-to-big-partnership-incyte-genesis-expand-ai-collaboration-to-1b/) 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.

## About Genesis Molecular AI

## Company Overview
- **One-liner**: Genesis Molecular AI combines frontier AI research with deep drug discovery expertise to develop a proprietary platform (GEMS) that accelerates the design and optimization of small molecule medicines.
- **Entity Type**: Private (Series B; raised over $300M in total funding)
- **Headquarters**: Burlingame, California, United States (with a fully integrated laboratory in San Diego and offices in New York)
- **Founded**: Not publicly disclosed (first major funding round – $200M Series B – closed in 2023)
- **Founders**: Evan Feinberg Ph.D. (CEO, Co-founder) and Sergey Edunov (Co-founder); other key leaders include Will McCarthy (CTO) and Shifeng Pan Ph.D. (COO)

## Core Business
- **Primary Industry**: Biotechnology – AI-powered small molecule drug discovery.
- **Target Customers**: Large pharmaceutical partners (B2B) via platform collaborations, plus an internal pipeline of wholly owned drug programs.
- **Mission/Purpose**: “Solving the hardest problems in drug discovery to change the landscape of medicine” by creating and scaling domain-specific AI models that integrate physics, chemistry, biology, and software.

## Products & Services
- **[GEMS Platform](https://www.genesis.ml/)**: An AI operating system for molecular design. GEMS (Genesis Exploration of Molecular Space) integrates generative and predictive models to accelerate hit identification, lead optimization, and candidate selection. It is deployed for internal pipeline programs and major pharma collaborations.
- **[Pearl Foundation Model](https://www.genesis.ml/about)**: A generative foundation model for biomolecular structure prediction (protein-ligand) that demonstrated field-leading performance. Built in collaboration with NVIDIA and trained on large-scale synthetic data.
- **Internal Drug Pipeline**: Small molecule inhibitors targeting oncology (e.g., pan-mutant allosteric PIK3CA inhibitors) and immunology (e.g., inflammatory signaling pathways). Programs are in discovery stage approaching development candidate nomination.
- **Platform Partnership Model**: “Forward-deployed engineers and scientists” work alongside pharma partners (Gilead, Incyte) to apply GEMS to their targets, with deal structures that include upfront payments, milestones, and data sharing that feeds back into model training.

## Market Standing
- **Valuation/Market Cap**: Not disclosed.
- **Key Metric**: Total funding raised >$300M (including $200M Series B in 2023 co-led by a16z, with participation from Fidelity, BlackRock, NVIDIA’s NVentures, Rock Springs Capital, T. Rowe Price, Radical Ventures, Menlo Ventures).
- **Notable Investors/Partners**: Andreessen Horowitz, Fidelity, BlackRock, NVIDIA (NVentures), Rock Springs Capital, T. Rowe Price, Radical Ventures, Menlo Ventures. Pharma partners: Gilead ($35M upfront, 2024), Incyte ($150M total upfront including equity investment, 2025–2026).
- **Growth Signals**: 125 employees (+26.4% YoY); operates in 7 countries; LinkedIn following grew 41.9% in the past year; Pearl model launched to strong benchmarking results; Incyte expanded collaboration with at least 5 additional targets and data for model training.

## Competitive Advantages
- **Integration of disciplines**: The company pairs leading AI researchers with world-class drug hunters, co-creating models and medicines in iterative loops.
- **Wet-lab flywheel**: In-house lab in San Diego generates experimental data that closes the loop for model training, prediction, and validation – a virtuous cycle that strengthens the platform with every program.
- **Partnership data advantage**: Deals with Gilead and Incyte provide significant proprietary experimental data (e.g., Incyte data for training GEMS), creating a moat that is hard for pure-play AI companies to replicate.
- **Domain-specific foundation models**: Models like Pearl are purpose-built for small molecule drug discovery, unlike general-purpose generative AI.

## Strategic Focus
- **Advancing internal pipeline**: Moving lead programs in oncology (PIK3CA, apoptosis) and immunology toward development candidate nomination.
- **Scaling platform partnerships**: Expanding existing collaborations and signing new ones to broaden the impact of GEMS and generate more training data.
- **Continuous model improvement**: Investing in next-generation foundation models (e.g., Pearl) and leveraging partner data to stay at the frontier of molecular AI.
- **Hiring across AI and drug discovery**: Open roles for machine learning research scientists, software engineers, computational chemists, medicinal chemists, and biologists indicate a focus on scaling both the tech and biology teams.

## Why Work Here
- **Culture**: Described as a “meritocracy of ideas” where the strongest ideas win through evidence and reasoning, not hierarchy. Values include ownership, experimentation, candor with kindness, curiosity, and collaboration across disciplines.
- **Work Environment**: Flexible work environment with offices in Burlingame, San Diego, and New York. Daily meals and snacks provided in the office. Ergonomic consulting and equipment available.
- **Compensation & Benefits**: Highly competitive compensation including base salary, bonus, and equity. Comprehensive health, dental, and vision insurance. Open PTO policy, parental leave, 401(k) retirement savings, financial planning resources.
- **Impact**: Employees work on some of the hardest problems in drug discovery – applying cutting-edge AI to targets that are canonically undruggable, with the potential to create new treatment options for severe diseases.
- **Team Composition**: The company actively hires across AI research, software engineering, molecular simulation, and drug discovery disciplines, fostering an interdisciplinary environment where researchers and drug hunters co-create daily.

## Sources
1. [genesis.ml](https://www.genesis.ml/)
2. [genesis.ml/about](https://www.genesis.ml/about)
3. [genesis.ml/careers](https://www.genesis.ml/careers)
4. [genesis.ml/partners-pipeline](https://www.genesis.ml/partners-pipeline)
5. [LinkedIn - Genesis Molecular AI](https://www.linkedin.com/company/genesis-molecular-ai)

## Other roles at Genesis Molecular AI

- [Contract Recruiting Coordinator](https://feeny.ai/job/contract-recruiting-coordinator-genesis-molecular-ai-new-york-jp3t2jz8ff95) — New York, NY / San Francisco, CA
- [Manager, New Product Planning](https://feeny.ai/job/manager-new-product-planning-genesis-molecular-ai-san-diego-s9gybtg3hfg8) — San Diego, CA
- [ML & Molecular Simulation Scientist](https://feeny.ai/job/ml-molecular-simulation-scientist-genesis-molecular-ai-san-mateo-z7qx94p0vrzb) — San Mateo, CA
- [Applied ML Scientist (Staff / Principal)](https://feeny.ai/job/applied-ml-scientist-staff-principal-genesis-molecular-ai-san-mateo-ypytjf6pxab2) — San Mateo, CA
- [Staff Technical Recruiter](https://feeny.ai/job/staff-technical-recruiter-genesis-molecular-ai-san-mateo-t76m4py49wex) — San Mateo, CA
- [Software Engineer - Core Infrastructure](https://feeny.ai/job/software-engineer-core-infrastructure-genesis-molecular-ai-san-mateo-sgbtcj4j76d4) — San Mateo, CA
- [Machine Learning Infrastructure Engineer](https://feeny.ai/job/machine-learning-infrastructure-engineer-genesis-molecular-ai-san-mateo-a012z1zdp33y) — San Mateo, CA
- [Product Management Lead](https://feeny.ai/job/product-management-lead-genesis-molecular-ai-san-mateo-qv16q5s8c4q2) — San Mateo, CA
- [ML Research Scientist, Foundation Models (Senior / Staff / Principal)](https://feeny.ai/job/ml-research-scientist-foundation-models-senior-staff-principal-genesis-gnpr61e1bf7n) — San Mateo, CA
- [ML Research Engineer, Foundation Models (Senior / Staff / Principal)](https://feeny.ai/job/ml-research-engineer-foundation-models-senior-staff-principal-genesis-molecular-7ky449yvkh2y) — San Mateo, CA