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About the Role
As an AI Research Scientist, you will conduct pre-training research for the Energy Foundation Model, a single model trained on diverse energy-related data to uncover complex relationships. This role involves designing the model architecture, running experiments, and developing rigorous evaluations to shape energy forecasting, hedging, and trading strategies.
Responsibilities
- Conduct pre-training research for the Energy Foundation Model.
- Design the architecture, inputs, and training objectives for a unified model across generation, grid, demand, weather, and price data.
- Run pre-training experiments to identify improvements.
- Build rigorous evaluations and honest backtests with calibrated uncertainty.
- Train on household-level data while ensuring privacy.
- Document findings as research and collaborate with quants and engineers for production deployment.
Requirements
- Ability to train on household-level data without leaking personal information.
- Ability to write up findings as research.
- Ability to work with quants and engineers who take the model into production.
Skills
- AI
- Machine Learning
- Forecasting
- Hedging
- Trading
- Data Analysis
- Model Development
- Research
- Experimentation
- Evaluation
- Backtesting
- Uncertainty Quantification
Location
- Global
Work Type
- Office-based (for breakfast and dinner allowance)
Salary/Compensations
- Competitive salary
- Eligibility for equity
Benefits
- Biannual bonus scheme
- Fully expensed tech
- Private health insurance
- Breakfast and dinner allowance for office-based employees
About the Company
- Fuse Energy is an energy startup focused on making energy abundant and affordable.
- The company combines first-principles thinking with cutting-edge technology to build a better energy system.
- Fuse Energy has raised over $200M from prominent investors.
- They are building a fully integrated energy company involved in generation, hardware development, grid infrastructure, power trading, AI utilization, and distributed energy installation.
- By selling directly to consumers, they aim to lower costs and pass savings to customers.