Machine Learning Researcher / Engineer
Title: Machine Learning Researcher / Engineer
Location: New York, NY
Salary: $300,000-$400,000
EPM Scientific is proud to partner with a leading computational research organization dedicated to advancing molecular science through high-performance computing and machine learning. We are seeking a Machine Learning Researcher / Engineer to join a world-class team applying AI to drug discovery, biomolecular simulation, and biophysics.
This is a unique opportunity to collaborate with chemists, biologists, and computer scientists to expand the group's efforts in applying machine learning to some of the most complex and high-impact problems in science. You'll contribute to projects ranging from molecular dynamics and quantum chemistry to generative molecular design-helping to accelerate the discovery of new therapeutics.
What You'll Do
- Develop and apply deep learning models to problems in molecular modeling, structural biology, and drug discovery.
- Collaborate across disciplines to integrate ML into simulation workflows and scientific pipelines.
- Analyze large-scale scientific datasets to extract insights and improve predictive accuracy.
- Contribute to the design of scalable ML infrastructure and tools for internal research use.
Basic Qualifications
- Ph.D. or equivalent research experience in Machine Learning, Computer Science, Computational Chemistry, or a related field.
- Strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Demonstrated expertise in developing and evaluating deep learning models.
- Intellectual curiosity, versatility, and a track record of innovation in machine learning.
Preferred Qualifications
- Experience in one or more of the following: molecular dynamics, structural biology, medicinal chemistry, cheminformatics, or quantum chemistry.
- Familiarity with scientific computing environments and high-performance computing.
- Peer-reviewed publications in top-tier AI or computational science venues.