ML Research Scientist
Core
Develop and implement foundational time-series foundation models and world models for physical systems (energy, supply chain, logistics) to support operational decisions.
Role type
Senior IC ML Research Scientist (Time-Series/World Modeling)
Builds
Proprietary state-of-the-art time-series foundation models and world modeling systems
Domain
Energy industry + Time-series foundation models & dynamical systems
Deliverable
production ML models
Required skills
Time-series foundation models, World modeling, Dynamical systems, Optimization, Machine learning research, Python/Engineering, Experiment design, Reproducible research
Preferred skills
Energy industry experience, Supply chain experience, Manufacturing experience, Multimodal data handling
Technologies
Time-series foundation models, World modeling frameworks, Simulation tools
Responsibilities
Collaborate with Chief Scientist to develop proprietary advances in time-series foundation models; Train and test models on real-world forecasting tasks; Own independent research directions from hypothesis to implementation; Investigate multimodal inputs and physical constraints; Work with engineers to productionize research; Extend advances to new domains like supply chain and logistics.
Seniority
Senior, hands-on IC
