Take control of a changing grid. Camus is high-performance, low-complexity grid management for a zero-carbon future.
Machine Learning Software Engineer
Location
United States
Posted
78 days ago
Salary
$180K - $230K / year
Seniority
Senior
Job Description
Machine Learning Software Engineer
Camus Energy
• Design, train, and evaluate predictive ML models with a focus on forecasting and time-series applications • Conduct exploratory data analysis, feature engineering, and statistical modeling across large structured and unstructured datasets • Collaborate with Engineering to define ML infrastructure requirements, and deploy and integrate ML models into operational workflows and decision-support tools • Work cross-functionally with Camus teams to define problem statements and translate business objectives into ML solutions • Communicate model performance, uncertainty, and limitations clearly to both technical and non-technical audiences • Champion ML best practices around reproducibility, versioning, and testing
Job 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 — including classical approaches (e.g. ARIMA) and modern ML-based methods (e.g. gradient boosting or temporal neural networks)
- Strong proficiency in Python and core ML/data science libraries (PyTorch, scikit-learn, statsmodels, pandas, etc.)
- Experience with probabilistic forecasting, uncertainty quantification and backtesting
- Ability to translate ambiguous business problems into well-scoped ML projects
- Comfortable operating with autonomy in a small team, balancing speed of delivery with the engineering discipline that production-grade software demands.
Benefits
- Competitive base salary
- Comprehensive benefits, including FSA and 401k for full time employees
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
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