(Senior) Scientist, Machine Learning
Core
Design and prototype machine learning models to extract latent structure from complex physical system measurements for a zero-to-one venture.
Role type
Senior IC machine learning scientist (physics-informed modeling)
Builds
New ML models and technical foundations for a platform company
Domain
Physics-informed machine learning / complex physical systems
Deliverable
production ML models
Required skills
hands-on ML model development, deep learning, representation learning, probabilistic modeling, Python, PyTorch, experiment design, cloud infrastructure
Preferred skills
inverse problems, latent-variable inference, structured generative modeling, geometric/symmetry-aware architectures, time-series data, domain knowledge in biology/chemistry/physics
Technologies
PyTorch, Python, cloud infrastructure
Responsibilities
Develop and iterate ML models for complex measurement data, design objectives respecting known constraints, explore modeling strategies, investigate model behavior and failure modes, collaborate with experimental teams, shape long-term ML strategy
Seniority
Senior, hands-on IC