Senior ML Engineer
New
J
JobgetherEnergy markets
US; based in the United States.Full-TimeSenior
Salary159,000 - 195,000 USD per year
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Job Details
- Required Skills
- PythonMachine LearningLLM
Requirements
- Hold a Master’s degree or Ph.D. in Applied Statistics, Applied Economics, Computer Science, or a related field.
- Have experience building and deploying production machine-learning models in power trading, energy procurement, commodity risk management, utility strategy, energy markets, or a related domain.
- Have strong Python programming skills.
- Have practical experience with machine-learning frameworks and time-series forecasting techniques applied to the power industry.
- Understand modern machine-learning approaches, including large language models, predictive analytics, and agent-based modeling.
- Understand time-series challenges including non-stationarity, seasonality, data leakage prevention, and cross-validation methods.
- Understand power markets and be able to assess market data, operational constraints, and regulatory developments.
- Be able to explain model results and technical decisions to non-technical stakeholders and clients.
- Be able to work independently in a fast-paced, ambiguous environment with evolving priorities and requirements.
- Experience in power and energy advisory or consulting, or power product design, is preferred.
- Familiarity with weather-driven forecasting, numerical weather prediction data, and ensemble weather models is an advantage.
- Experience with grid optimization challenges such as storage dispatch, unit commitment, and optimal power flow is preferred.
Responsibilities
- Design, develop, and maintain production machine-learning systems for energy market forecasting and grid analytics.
- Identify, collect, assess, and validate power systems datasets, addressing data gaps, uncertainty, and quality challenges.
- Build and maintain end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
- Develop and productionize forecasts and optimization models for nodal electricity prices, energy loads, and renewable generation.
- Implement testing, observability, documentation, and automated evaluations to support reliable model releases.
- Monitor wholesale electricity and gas markets, congestion, basis, capacity, ancillary services, tariffs, and regulations.
- Work with power systems engineers and energy market analysts to turn domain expertise and research into scalable solutions.
- Contribute to technical design reviews, coding standards, engineering practices, and knowledge sharing.
- Communicate model outputs, analytical findings, and technical trade-offs to internal stakeholders and clients.
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