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Up Directory CCL 24.11.18 Machine Learning Researchers and Engineers
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Mon Nov 18 05:57:02 2024
Subject: 24.11.18 Machine Learning Researchers and Engineers
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.
To submit an application, please use the link provided below: 

https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=CCL.net
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