Product Manager, Materials Science AI and Machine Learning
Required skills
- Materials Science
- Computational Chemistry
- Chemical Engineering
- Artificial Intelligence
- Machine Learning
- Software Industry
- Customer Interaction
- Roadmap Planning
- Customer Acquisition
- Global Travel
Nice to have
- Agentic workflow expert
- 401k
- pre-tax commuter benefits
- flexible work schedule
- parental leave program
Role summary
Schrödinger is seeking a Materials Science Machine Learning Product Manager to drive the development of AI/ML products for materials discovery. This role requires a blend of domain expertise in chemistry and machine learning, coupled with software industry experience. The Product Manager will interface with customers, plan roadmaps, develop new ML models, and manage the existing MS ML team. The ideal candidate has a PhD in a related field, a strong background in MS and ML, and experience working with customers globally. The company offers competitive compensation, benefits, and a collaborative work environment.
Schrödinger seeks a Materials Science Machine Learning Product Manager to join us in our mission to transform the discovery of materials and therapeutics.
As a member of the Materials Science (MS) Machine Learning (ML) team, you’ll manage the development of AI and ML products, combining deep domain knowledge in chemistry, machine learning, and the software industry to grow our products and business in aerospace, consumer goods, electronics, specialty chemicals, and other industries.
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