Machine Learning Researcher/Engineer

Machine Learning Researcher/Engineer

Posted: June 18, 2025 Job Type: Permanent Industry: Development and Engineering

Our client’s profound mission is to revolutionize drug discovery by seamlessly combining deep scientific insight with powerful computational tools. Their groundbreaking work has already led to the successful development of several clinical-stage drug candidates, achieved both independently and through impactful collaborations with other leading organizations.

This is a truly distinctive opportunity to collaborate closely within a dynamic, multidisciplinary team comprising brilliant chemists, biologists, and computer scientists. Together, you will advance efforts in applying cutting-edge machine learning techniques to areas such as drug discovery, intricate biomolecular simulations, and fundamental biophysics.

Location & Compensation:

• Location: New York, NY (Onsite / Hybrid – specifics to be discussed)
• Salary: USD $300,000 – $600,000 annually

What You’ll Be Doing:

As a Machine Learning Researcher/Engineer, you’ll be at the heart of scientific innovation, applying advanced ML to accelerate critical breakthroughs. Your responsibilities will likely include:

• ML Model Development: Designing, developing, and implementing novel machine learning models, particularly those leveraging deep learning, to address complex challenges in drug discovery and biomolecular understanding.
• Algorithmic Innovation: Innovating new algorithms and computational methods to improve the efficiency and accuracy of simulations and predictions.
• Data Integration & Analysis: Working with diverse scientific datasets, integrating molecular, biological, and simulation data to train and validate ML models.
• Cross-Disciplinary Collaboration: Collaborating intimately with chemists and biologists to translate scientific problems into machine learning challenges and to interpret model results in a meaningful biological context.
• Code Implementation: Writing clean, efficient, and robust code, primarily in Python, for both research prototyping and scalable production systems.
• Pipeline Optimization: Contributing to the optimization and scaling of machine learning pipelines for large-scale computational experiments.
• Research & Publication: Staying abreast of the latest advancements in machine learning, computational biology, and related fields, and potentially contributing to scientific publications or presentations.

What’s Needed:

We’re seeking a highly talented and intellectually curious individual with:

• Strong Deep Learning Foundation: A robust and demonstrated foundation in deep learning principles, methodologies, and architectures.
• Python Proficiency: Solid Python programming skills, essential for both research and engineering tasks.
• Innovation & Adaptability: A proven ability to innovate within the machine learning field, coupled with strong intellectual curiosity and adaptability to new scientific domains and technical challenges.
• Impactful Contributions: A track record of making impactful contributions in the field of machine learning, whether through academic research, open-source projects, or industry applications.

Bonus Qualifications (Beneficial, but Not Essential):

While not strictly required, experience in the following areas would be beneficial:

• Molecular Dynamics: Familiarity with molecular dynamics simulations.
• Structural Biology: Knowledge of structural biology concepts.
• Medicinal Chemistry/Cheminformatics: Background in medicinal chemistry or cheminformatics.
• Quantum Chemistry: Understanding of quantum chemistry principles.

This is a permanent opportunity to join a pioneering team in New York City that is truly revolutionizing drug discovery. If you are a passionate Machine Learning Researcher/Engineer eager to apply your skills to solve some of humanity’s most challenging problems in medicine and life sciences, we encourage you to apply. We look forward to connecting with you!