From: jobs at ccl.net (do not send your application there!!!)<br />
To: jobs at ccl.net<br />
Date: Wed May 15 10:20:21 2024<br />
Subject: <STRONG>24.05.15 Machine Learning Researchers and Engineers</STRONG><br />

<pre>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: 

<a href="https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=CCL.net" target="_blank">https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=CCL.net</a>

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.</pre>
<pre>To submit an application, please use the link provided below: 

<a href="https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=CCL.net" target="_blank">https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=CCL.net</a></pre>
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