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Up Directory CCL 23.11.08 Machine Learning Researchers and Engineers at D. E. Shaw Research
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Wed Nov 8 04:11:07 2023
Subject: 23.11.08 Machine Learning Researchers and Engineers at D. E. Shaw Research
Machine learning researchers and engineers with impressive records of academic and professional achievements sought to join our interdisciplinary team in New York City.

This is a unique opportunity to collaborate with our chemists, biologists, and computer scientists to expand the groups efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.  Ideal candidates will have demonstrated expertise in developing deep learning techniques, as well as strong 
Python programming skills.  Relevant areas of experience might include molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation 
in the field of machine learning.

D. E. Shaw Research develops and uses advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail, and to design precisely targeted, highly selective drugs for the treatment of various diseases.  Among our core technologies is a 
proprietary special-purpose supercomputer called ANTON which we designed and constructed to perform molecular dynamics simulations more than 100 times faster than the world's fastest general-purpose supercomputers.  We develop and refine advanced biomolecular modeling methods, software, and machine learning techniques 
on ANTON, as well as on general-purpose supercomputers, in order to pursue both internal and collaborative drug discovery programs.  Our research, technologies, and pharmaceutical expertise have each played an important role in bringing six drugs into clinical trials.  Machine learning techniques are a rapidly-growing 
aspect of our research efforts.  For example, we have developed and published neural networks that improve the accuracy of quantum chemistry models, and have trained deep learning models to generate optimized molecules for drug discovery.

We are looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment.  

To submit an application, please use the link provided below: 
https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=CCL.net

D. E. Shaw Research is an equal opportunity employer, dedicated to the goal of building a diverse workforce. We embrace diversity along all dimensions, and respect and value the unique qualities, perspectives, and identities of every person in our group. We welcome inquiries from all exceptionally well-qualified applicants, 
regardless of race, color, nationality, national or ethnic origin, religion or religious belief, caste, gender identity, pregnancy, caregiver status, age, military service eligibility, veteran status, sexual orientation, marital or civil partner status, disability, or status in any other category protected in this regard by 
law in any jurisdiction in which we operate. 

The expected annual base salary for this position is $300,000$600,000.  Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance.  The applicable annual base salary paid to a successful applicant will be 
determined based on multiple factors including the nature and extent of prior experience and educational background.  We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.
https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=CCL.net
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Modified: Wed Nov 8 09:11:07 2023 GMT
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