Machine Learning Software Engineer

Camus Energy is building software solutions to help new load and generation connect to the grid faster. We're seeking a Machine Learning Software Engineer to advance forecasting and predictive modeling capabilities.

Requirements

• PhD with 3+ years of industry experience, Masters with 5+ years, or Bachelors with 8+ years in Machine Learning, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• Demonstrated track record of delivering ML models into production environments
• Experience with time-series forecasting methods
• Strong proficiency in Python and core ML/data science libraries (PyTorch, scikit-learn, statsmodels, pandas, etc.)
• Experience with probabilistic forecasting, uncertainty quantification and backtesting

Benefits

• Competitive base salary
• Comprehensive benefits
• Flexible PTO
• Fully remote workplace
• 401k for full time employees
• FSA for full time employees
• Real impact on climate change