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Scientific Machine Learning (ML) Engineer at Schrödinger - ApplyBlast

Scientific Machine Learning (ML) Engineer

Schrödinger

21 days ago

4.4 on Glassdoor

New York, New York, United States

Onsite

Full Time

Junior

0 applicants

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About this role

The Scientific Machine Learning (ML) Engineer will join the Hit Discovery team to build computational workflows that combine machine learning with chemical physics for evaluating potential drug molecules. This role involves collaborating with research scientists to improve method accuracy, developing scalable software products, and optimizing hit discovery campaigns. The position requires adapting existing workflows for new discovery cases and exploring novel ML approaches to enhance core methodologies.

Responsibilities

Design and build scalable software for ML virtual screening pipelines
Collaborate with research scientists to improve accuracy of computational workflows
Integrate ML applications with physics-based backends to optimize hit discovery campaigns

Skills

Qualifications

Bachelor's degree in ChemistryBachelor's degree in PhysicsBachelor's degree in Computer Science

About Schrödinger

schrodinger.com

Headquarters

New York, New York, United States

Company Size

501-1000 employees

Founded

1990

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Schrödinger is a scientific leader that provides a physics‑based software platform for molecular discovery and design, delivering advanced molecular simulation, modeling, and predictive tools. Its solutions are used by pharmaceutical, biotechnology, and materials companies to accelerate drug discovery, materials innovation, and related R&D workflows. Schrödinger combines rigorous physics‑based methods with cheminformatics and data‑driven techniques, and supports customers with software, services, and partnerships to translate computational insights into experimental progress.