Genesis Molecular AI
Sr. Principal Software Engineer
Genesis Molecular AI, Burlingame, California, United States, 94012
Sr. Principal Software Engineer
Location: Burlingame, CA
Responsibilities
Design, build and maintain tech systems for developing and utilizing machine learning models used for the discovery of new medicines.
Define the roadmap for improving infrastructure for training and deploying machine learning models.
Act as the technology lead on machine learning research projects.
Plan the development of the company’s main web product that supports all internal chemistry activities.
Architect the software infrastructure to support the company’s machine learning and computational chemistry research teams.
Write software to improve the company’s platform, including adding features to the website, improving back‑end compute infrastructure, or executing and deploying machine‑learning/computational chemistry research.
Build tools for visualizing novel molecules and interpreting machine‑learning models, molecular‑dynamics force fields and simulations.
Provide engineering support for our active drug programs.
Improve how chemists and biologists interact with our proprietary generative and predictive models.
Increase the research velocity of the machine‑learning and molecular‑dynamics research teams.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Machine Learning, Electrical Engineering, or related field (or foreign equivalent) plus 4 years as a software engineer in machine learning.
4 years experience coding in Python and JavaScript.
4 years experience with databases including RDMS (e.g., Postgres), NoSQL and blob storage (e.g., S3, GCS).
3 years experience with infrastructure components such as Kubernetes, Spark, Ray and Parquet for distributed compute.
3 years experience with machine‑learning packages such as PyTorch, scikit‑learn, WandB, NumPy, and Pandas.
1 year experience working with biological and chemical datasets, including structure prediction, property prediction, and generative models.
1 year experience with molecular‑dynamics packages such as Schrodinger tools, OpenMM, PyMOL, Openeye, and RDKit.
3 years experience using Jupyter notebooks for experimentations and matplotlib for plotting.
Benefits
Telecommuting permitted 2‑3 times per week.
Offered salary: $300,000 per year.
Contact Resumes to
recruiting@genesis.ml , Ref. SW25.
EEO Statement Genesis Molecular AI, Inc. is an Equal Opportunity Employer.
About the Company 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 Burlingame, 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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Responsibilities
Design, build and maintain tech systems for developing and utilizing machine learning models used for the discovery of new medicines.
Define the roadmap for improving infrastructure for training and deploying machine learning models.
Act as the technology lead on machine learning research projects.
Plan the development of the company’s main web product that supports all internal chemistry activities.
Architect the software infrastructure to support the company’s machine learning and computational chemistry research teams.
Write software to improve the company’s platform, including adding features to the website, improving back‑end compute infrastructure, or executing and deploying machine‑learning/computational chemistry research.
Build tools for visualizing novel molecules and interpreting machine‑learning models, molecular‑dynamics force fields and simulations.
Provide engineering support for our active drug programs.
Improve how chemists and biologists interact with our proprietary generative and predictive models.
Increase the research velocity of the machine‑learning and molecular‑dynamics research teams.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Machine Learning, Electrical Engineering, or related field (or foreign equivalent) plus 4 years as a software engineer in machine learning.
4 years experience coding in Python and JavaScript.
4 years experience with databases including RDMS (e.g., Postgres), NoSQL and blob storage (e.g., S3, GCS).
3 years experience with infrastructure components such as Kubernetes, Spark, Ray and Parquet for distributed compute.
3 years experience with machine‑learning packages such as PyTorch, scikit‑learn, WandB, NumPy, and Pandas.
1 year experience working with biological and chemical datasets, including structure prediction, property prediction, and generative models.
1 year experience with molecular‑dynamics packages such as Schrodinger tools, OpenMM, PyMOL, Openeye, and RDKit.
3 years experience using Jupyter notebooks for experimentations and matplotlib for plotting.
Benefits
Telecommuting permitted 2‑3 times per week.
Offered salary: $300,000 per year.
Contact Resumes to
recruiting@genesis.ml , Ref. SW25.
EEO Statement Genesis Molecular AI, Inc. is an Equal Opportunity Employer.
About the Company 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 Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
#J-18808-Ljbffr