Job Application for Machine Learning Force Fields Developer

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We’re seeking a Machine Learning Force Fields Developer 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 Machine Learning team, you will develop infrastructure to deploy state-of-the-art ML force fields, which will be applied to impactful applications in Life and Materials sciences.

Who will love this job:

An ML engineer with basic knowledge and interest in physical science and machine learning
An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment
A technical contributor interested in optimizing implementations of the latest advances in machine learning force fields
A developer who values code clarity, generality, and maintainability

What you’ll do:

Develop performant implementations of state-of-the-art machine learning force fields
Develop end-to-end fine-tuning workflows, including data collection, training, inference, and deployment
Support computation of reference data using cloud resources
Work with an interdisciplinary team of scientists and developers to deliver impactful workflows based on machine learning force fields

What you should have:

A bachelor’s or advanced degree in computer science, chemistry, physics, or a related field
1 to 2 years of experience with machine learning frameworks (PyTorch), interpreted languages (Python), continuous integration, and version control
Familiarity with cloud and high-performance computing, especially around GPU utilization
Familiarity with database design
Experience with Python database libraries, C++, and/or CUDA programming is preferred

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

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Machine Learning Force Fields Developer - Hyderabad

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