Machine Learning Software Engineer

Camus Energy

Machine Learning Engineer advancing forecasting and predictive modeling capabilities at Camus Energy. Collaborating with teams to translate real-world signals into reliable analytics for clean energy solutions.

Posted 5/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

PandasPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpredictive modelingtime-series forecastingfeature engineeringstatistical modelingPythonARIMAgradient boostingtemporal neural networksprobabilistic forecasting

Soft Skills

communicationcollaborationproblem-solvingautonomyadaptabilitycross-functional teamworktranslating business objectiveschampioning best practicesbalancing speed and disciplineclarity in model performance

Certifications

PhD in Machine LearningMasters in StatisticsBachelors in Computer ScienceApplied Mathematics