Genesis Molecular AI

About the Company

Genesis Molecular AI – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego and offices in New York – is pioneering foundation models for molecular AI to unlock a new era of drug design and development. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery. The GEMS platform integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through cycles of AI-enabled discovery and optimization. We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI platform collaborations across a range of therapeutic areas including Gilead (2024), and Incyte (2025). Genesis has raised over $300M in funding from top AI, technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. To learn more about Genesis Molecular AI, or current employment opportunities, please visit our website.

Listed Jobs

Company Name

Genesis Molecular AI

Job Title

Software Engineer Intern - Fall 2026

Job Description

**Job Title:** Software Engineer Intern – Fall 2026 **Role Summary:** Interns will design, develop, and scale software tools that enable visualization of molecules and proteins, analysis of machine‑learning models, and management of complex chemical workflows. Collaborating with machine‑learning engineers and medicinal chemists, interns will productionize new computational methods for molecular property prediction and enhance infrastructure to support billions of data points and thousands of parallel deep‑learning and molecular‑dynamics jobs. **Expectations:** - Deliver clean, efficient code rapidly while maintaining high code‑quality standards. - Apply first‑principles reasoning rather than relying solely on pattern matching. - Demonstrate a strong interest in biochemistry and the drug‑development lifecycle. **Key Responsibilities:** - Build and extend visualization tools for molecules and proteins. - Develop utilities to interrogate and interpret machine‑learning models. - Create and maintain workflows that automate chemical data processing. - Collaborate with ML engineers and medicinal chemists to translate research methods into production‑ready software. - Scale core infrastructure to handle massive datasets and high‑throughput computational jobs. **Required Skills:** - Proficient in software development with a focus on speed and code quality. - Strong problem‑solving ability using first‑principles reasoning. - Experience in building data‑centric applications (Python, C/C++, or comparable languages). - Familiarity with machine‑learning frameworks (e.g., PyTorch, TensorFlow). - Understanding of distributed computing, data pipelines, and version control (Git). - Excellent communication and teamwork skills for cross‑functional collaboration. **Required Education & Certifications:** - Current enrollment in a Bachelor’s or Master’s program in Computer Science, Software Engineering, or a related technical field. - Expected graduation by the end of the internship term. - No specific certifications required.

New york, United states

On site

Fresher

10-03-2026