Schrödinger
Machine Learning Force Fields Scientist New York; Portland
Schrödinger, New York, New York, us, 10261
Were seeking a
Machine Learning (ML) Scientist
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, youll develop state-of-the-art ML force fields which will be applied to impactful applications in Life and Materials sciences. Who will love this job: A machine learning enthusiast with a background in physical science An innovator whos 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 with prior knowledge of ML toolkits such as Scikit-Learn, NumPy, SciPy, Pandas, and PyTorch An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment What youll 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 life and 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 Schrdinger offers a competitive salary, equity-based compensation, and a wide range of benefits including healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a collaborative culture, and over a month of paid vacation time. Our office presence includes New York as our largest location, with teams around the world. Schrdinger has been recognized by Crains New York Best Places to Work, BuiltIns NYC Best Place to Work, and Newsweeks list of Americas 100 Most Loved Workplaces. Apply for this job Estimated base salary range: $120,000 - $160,000. Actual compensation is dependent on factors including experience, education, degrees held, market data, and business needs. If you have questions regarding compensation, please contact our Strategic Growth team. As an equal opportunity employer, Schrdinger hires outstanding individuals into every position in the company. We do not discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, or any other protected characteristic. We value diversity as it drives innovation and adaptability. #J-18808-Ljbffr
Machine Learning (ML) Scientist
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, youll develop state-of-the-art ML force fields which will be applied to impactful applications in Life and Materials sciences. Who will love this job: A machine learning enthusiast with a background in physical science An innovator whos 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 with prior knowledge of ML toolkits such as Scikit-Learn, NumPy, SciPy, Pandas, and PyTorch An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment What youll 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 life and 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 Schrdinger offers a competitive salary, equity-based compensation, and a wide range of benefits including healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a collaborative culture, and over a month of paid vacation time. Our office presence includes New York as our largest location, with teams around the world. Schrdinger has been recognized by Crains New York Best Places to Work, BuiltIns NYC Best Place to Work, and Newsweeks list of Americas 100 Most Loved Workplaces. Apply for this job Estimated base salary range: $120,000 - $160,000. Actual compensation is dependent on factors including experience, education, degrees held, market data, and business needs. If you have questions regarding compensation, please contact our Strategic Growth team. As an equal opportunity employer, Schrdinger hires outstanding individuals into every position in the company. We do not discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, or any other protected characteristic. We value diversity as it drives innovation and adaptability. #J-18808-Ljbffr