Senior Scientist, Computational Receptor Biology & Machine Learning - Long Island City, NY
Core
Develop next-generation machine learning models to decode molecular mechanisms behind taste and smell, accelerating scientific discovery in nutrition, health, and beauty.
Role type
Senior IC machine learning researcher (computational biology)
Builds
Production ML models for protein-ligand interaction and receptor science
Domain
Computational biology, deep learning, molecular AI
Deliverable
production ML models
Required skills
Deep learning architectures, distributed training systems, equivariant/multimodal/generative modeling, PyTorch/JAX, applied mathematics, physics-inspired modeling, probabilistic inference, geometry and symmetry intuition
Preferred skills
Generative or probabilistic modeling approaches (diffusion, flows, score-based models), uncertainty estimation
Technologies
PyTorch, JAX, GPUs
Responsibilities
Lead development of advanced deep learning models grounded in geometry, physics, and probabilistic reasoning; Design and adapt equivariant, multimodal, and/or generative architectures for structured molecular data; Own scalable model training distributed across GPUs; Translate foundational ML ideas into practical receptor-aware modeling tools; Contribute technical leadership and mentorship while working cross-functionally
Seniority
Senior, hands-on IC
