DeepRec.ai · 8 hours ago
Machine Learning Research Scientist
DeepRec.ai is an early-stage, venture-backed deep-tech company developing next-generation tools for subsurface characterization to accelerate clean energy deployment. As a Machine Learning Research Scientist, you will build research-grade machine learning models that integrate physical laws with data, collaborating closely with domain experts to influence core ML research.
Responsibilities
Develop machine learning models grounded in mathematical and physical principles to augment numerical physics simulations
Design and implement algorithms that explicitly incorporate differential equations and physical constraints
Collaborate closely with physicists and engineers to translate geophysical understanding into ML architectures
Influence the direction of core ML research within a lean, mission-driven team
Build reproducible research workflows that feed directly into tools for clean energy deployment
Qualification
Required
PhD or equivalent research experience in Mathematics, Physics, or a closely related quantitative field
Strong mathematical maturity with regular use of linear algebra, differential equations, and numerical methods
First-principles problem-solving approach rather than reliance on high-level ML abstractions
Strong Python skills and experience writing clean, research-grade ML code
Genuine motivation for climate, clean energy, and scientifically meaningful work
Preferred
Experience in scientific machine learning, including PINNs, operator learning, or surrogate modeling
Background in numerical simulation or high-performance computing
Exposure to geophysics, subsurface modeling, or energy-domain problems