We’re seeking a Postdoctoral Fellow in Machine Learning (ML) to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll develop state-of-the-art ML force fields which will be applied to impactful applications in materials sciences.
Who will love this job:
- A machine learning enthusiast with a background in physical science
- An innovator who’s driven to leverage technical knowledge to make a tangible impact
- A scientist with deep knowledge of both finite system and periodic DFT, as well as other electronic structure methods, and who understands the limitations and appropriate applications of these methods
- A proficient Python programmer who can write their own scripts
- An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment
What you’ll do:
- Build and manage large data sets generated using quantum chemical methods at scale to develop predictive ML force fields
- Develop software that trains and applies ML force fields to challenging problems in materials sciences
- Extend the accuracy, capability and generalization of current ML force fields
- Communicate results and present ideas to the team
What you should have:
- A PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
- A proven track record of scientific contribution and independent research
- Prior experience with development of ML force fields and/or electronic structure methods
- Experience with predicting electronic properties using VASP, Quantum ESPRESSO, or similar modeling software
- Prior knowledge of ML toolkits such as Scikit-Learn, NumPy, SciPy, Pandas, and PyTorch is a plus, but not required
- Understanding of surface chemistry is a plus, but not required
Schrödinger, Inc. Compensation & Benefits Highlights
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Leave & Time Off Breadth — Company materials describe generous vacation with two companywide shutdown weeks, indicating broad time-off availability. Paid parental leave and flexible work norms further extend time-away and scheduling support.
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Healthcare Strength — The package includes medical, dental, vision, mental‑health benefits, an EAP, and FSAs, pointing to robust core coverage. Wellness-oriented elements and onsite perks reinforce health support beyond basics.
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Parental & Family Support — Paid parental leave plus subsidized backup care for children, elders, and pets, along with optional pet insurance, reflect wide-ranging family support. Return‑to‑work assistance and family-oriented events add practical caregiving flexibility.
Schrödinger, Inc. Insights
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What We Do
Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions and services for pharmaceutical, biotechnology, and materials science research. The predictive power of Schrödinger's software allows scientists to accelerate their research and development, reduce research costs, and make novel discoveries.
Why Work With Us
We have a mission-driven culture that thrives off team collaboration. By utilizing a non-hierarchal approach, we hope to give all employees a voice and room to grow to their fullest potential. We actively engage in diversity and inclusion efforts, pay fairly, and always strive to provide a supportive atmosphere for our teams.
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Employees engage in a combination of remote and on-site work.
