Senior ML Engineer

📋 Description

• Design, develop, and maintain machine learning systems for energy market forecasting and grid
• Identify, collect, assess, and validate power systems datasets
• Build and maintain end-to-end ML pipelines
• Develop and productionize forecasting and optimization models
• Implement robust testing, observability, documentation, and automated evaluations
• Monitor developments in wholesale electricity and gas markets

🎯 Requirements

• Master's degree or Ph.D. in Applied Statistics, Applied Economics, Computer Science, or a related
• Proven experience deploying production machine learning models in energy domain
• Strong Python programming skills
• Experience with machine learning frameworks and time-series forecasting techniques
• Understanding of modern ML approaches including large language models
• Knowledge of time-series challenges such as non-stationarity, seasonality, data leakage prevention

🎁 Benefits

• Annual salary range of $159,000–$195,000 USD
• Comprehensive nationwide medical, dental, and vision coverage
• Flexible vacation policy and 10 company-wide holidays
• Annual winter break between Christmas and New Year's
• 16 weeks of fully paid parental and family leave
• Remote-friendly working environment