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# Machine Learning Researcher and Engineer

- **Company:** StaffRight Associates
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Microsoft Dynamics, Molecular Modeling, Reinforcement Learning, Information Technology
- **Published:** August 25, 2026
- **Apply:** https://www.dice.com/job-detail/59b2c7eb-8ac5-4099-ae43-dad85d8c4f85

## About the Role

* Deep expertise in machine learning and deep learning.
 * Exceptional Python programming ability.
 * Strong mathematical, algorithmic, and computational foundations.
 * Evidence of original research, innovation, or significant technical achievement.
 * The ability to attack ambiguous, difficult problems independently.
 * Intellectual curiosity and the ability to work across scientific disciplines.

Relevant experience may include generative modeling, representation learning, graph or geometric learning, reinforcement learning, scientific ML, optimization, probabilistic modeling, or related areas.

Experience in molecular dynamics, structural biology, chemistry, biophysics, or drug discovery is highly valuable..!

A Masters, or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or another rigorous STEM discipline is required.

Why This Opportunity

This is for someone who wants to work on problems that are genuinely difficult and genuinely interesting.

You will work alongside highly accomplished researchers and engineers in an environment where technical depth, originality, intellectual curiosity, and measurable results matter more than titles or hierarchy.

If you have developed something exceptional, published important research, created novel ML techniques, or solved problems that others could not, you may be who is needed., If your work demonstrates exceptional ability in machine learning and you are looking for problems worthy of your capabilities, we would like to speak with you.

## Description

* Apply ML to areas including molecular simulation, quantum chemistry, biomolecular systems, and drug discovery.
 * Develop research ideas from hypothesis through implementation, experimentation, and validation.
 * Work directly with exceptional computer scientists, ML researchers, chemists, and biologists.
 * Build high-performance computational solutions capable of supporting demanding scientific research.


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