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Materials Science Machine Learning Product Manager at Schrödinger - ApplyBlast

Materials Science Machine Learning Product Manager

Schrödinger

23 days ago

4.4 on Glassdoor

New York, New York, United States

Onsite

Full Time

Manager

0 applicants

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About this role

Schrödinger is seeking a Materials Science Machine Learning Product Manager to lead the development of AI and ML products, leveraging deep domain knowledge in chemistry and machine learning to expand business in industries like aerospace and electronics. The role involves managing the MS ML team, providing roadmap planning, and interfacing with customers to demonstrate software capabilities. This position requires a PhD in a related field and a strong background in both materials science and machine learning.

Responsibilities

Manage development of AI and ML products
Interface with customers to demonstrate software capabilities
Provide guidance and roadmap planning for product growth

Skills

Qualifications

PhD in Materials SciencePhD in Computational ChemistryPhD in Chemical EngineeringPhD in Artificial Intelligence

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.