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Machine Learning Engineer

Job ID: 1958
Location: New York, NY
Type: Permanent
Status: Open
Key Skills: Machine learning, Python, chemistry, biophysics, molecular dynamics simulations, biophysics, biochemistry, structural biology, drug discovery, cheminf

Description:
Seeking Machine Learning Engineer to join exceptional group of engineers to develop machine learning approaches for chemistry and biophysics. Responsibilities might include contributing to and further expanding ongoing machine learning projects to develop more accurate molecular force-field models, optimize screening protocols to generate novel small molecules for drug discovery, accelerate the sampling within molecular dynamics simulations, etc.

Requirement:
- Expert in deep learning techniques in one of more of these areas:
1. Deep neural networks
2. Convolutional neural networks
3. Recurrent neural networks
4. Deep reinforcement learning
5. Deep belief nets
6. Boltzmann machines
7. Graphs, transfer learning

- Strong Python programming skills (additional coding experience is a plus)

- Ideally will have experience in molecular dynamics, structural biology, medicinal chemistry, cheminformatics, and/or quantum chemistry
- Demonstrated experience in developing machine learning approaches for biophysics, biochemistry, structural biology, drug discovery, cheminformatics, quantum chemistry, etc.
- Must have outstanding intellectual ability and a track record of achievement in machine learning

- Must have BS in CS or related field. (MS or PhD highly desired)
Will consider candidates of various levels as long as ample evidence of deep learning

Company will provide relocation

To apply for this position please submit an MS Word doc of your resume and put in the subject - Job ID # 1958.

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