ML Research Scientist

Parisi Labs develops foundational world models for physical industry, beginning with energy. The ML Research Scientist will develop and test time-series foundation models and world models, lead independent research, and work with engineers to bring successful advances into systems used for real-world decisions.

Responsibilities:

• Collaborate with the Chief Scientist to develop proprietary, state-of-the-art advances in time-series foundation models and world models
• Train and test models on difficult, valuable, real-world forecasting tasks
• Own independent research directions from hypothesis through implementation, experiments, ablations, and clear technical conclusions
• Investigate multimodal inputs and event data, alongside methods for representing physical constraints and interactions
• Work with engineers to productionize and ship successful research into systems that support real decisions
• Extend advances beyond energy into domains such as supply chain, logistics, water, oil and gas, manufacturing, and predictive maintenance
• Maintain reproducible experiments and communicate findings with the rigor needed to distinguish genuine progress from misleading results
• 30 days: Reproduce the current model and evaluation system, understand its strengths and limitations, and identify a focused research opportunity with the Chief Scientist
• 60 days: Own an experiment from hypothesis through implementation, evaluation, and failure analysis, with reproducible results and a clear technical readout
• 90 days: Establish an independent research direction, deliver evidence-backed findings, and work with engineers to translate promsing results into the core system