24.11.18 Machine Learning Researchers and Engineers

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 group's efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics.

Responsibilities:

1. Develop deep learning techniques.
2. Collaborate with interdisciplinary teams in drug discovery and biomolecular simulation.
3. Utilize strong Python programming skills.

Qualifications:

1. Demonstrated expertise in machine learning.
2. Experience in relevant areas such as molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry is a plus.
3. Intellectual curiosity and a track record of achievement 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. Our core technologies include 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 are looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment.

The expected annual base salary for this position is $300,000 - $600,000. Our compensation package includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. We follow a hybrid work schedule, with employees working from the office Tuesday through Thursday, and having the option to work from home on Monday and Friday.

To submit an application, please use the link provided below:

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