Machine Learning Infrastructure Engineer

We’re seeking a Machine Learning (ML) Engineer 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
• A technical leader who wants to build practical solutions to meet team members requirements
• An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment

What you’ll do:

• Manage a modeling pipeline to deliver state of the art machine learning based force fields (MLFF)
• Lead technical development of pytorch based software to train and deploy MLFF.
• Support computation of reference data using cloud resources
• Communicate technical plans and coding guidelines to a team of scientific researchers

What you should have:

• An engineer who can run independent projects end to end and is familiar with tensorflow, pytorch, Pandas, and/or sklearn
• An understanding of continuous integration
• Background in large-scale distributed computing (pbs, slurm, etc.)
• An independent interest in science (an undergraduate major or minor is a plus!)

Pay and perks: Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office every day, a company culture that is relaxed but engaged, and over a month of paid vacation time.  Our Administrative and Human Resources departments also plan a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been selected as one of Crain's New York Best Places to Work for the past three years running.   Sound exciting? Apply today and join us!   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, sexual orientation, or any other protected characteristic. 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.