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Senior ML Engineer

5 days, 22 hours ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Feature Engineering Machine Learning MLOps Python
Apply Now
relaebeauty

relaebeauty

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Description

  • Identify, gather, validate, and address gaps and uncertainties in power-systems datasets.
  • Design and maintain end-to-end ML pipelines for energy-market forecasting and grid analytics.
  • Build, deploy, monitor, and document forecasting and optimization models for nodal prices, load, and renewable generation.
  • Implement robust testing, observability, and automated evaluations to support safe, frequent model releases.
  • Collaborate with software engineers, data scientists, energy economists, power systems engineers, and advisory teams to translate research into scalable systems.
  • Work directly with clients to deliver analysis on power hedging, energy procurement, operational and market risks, and emissions impacts.
  • Contribute to technical design reviews, coding standards, and engineering best practices, including mentoring across Tech & Software teams.

Requirements

  • Experience building and deploying production ML models in power trading, energy procurement, commodity risk management, utility strategy, energy markets, or a related field.
  • Master’s or Ph.D. in applied statistics, applied economics, computer science, or a related field.
  • Strong Python skills and hands-on experience with ML frameworks and time-series forecasting for the power industry.
  • Knowledge of LLMs, predictive analytics, agent-based modeling, and time-series challenges including non-stationarity, seasonality, data leakage, and cross-validation.
  • Ability to monitor and interpret real-time wholesale power and gas market data, congestion, basis, capacity, ancillary services, tariffs, and regulatory developments.
  • Ability to communicate model outputs and technical tradeoffs clearly to non-technical clients.
  • Experience working effectively in fast-moving, ambiguous environments with evolving client needs.
  • Power and energy advisory or consulting experience, or experience designing power products (preferred).
  • Familiarity with weather-driven forecasting, including NWP data and ensemble weather models, and grid optimization problems such as storage dispatch, unit commitment, or OPF (preferred).

Benefits

  • Salary range of $159,000–$195,000 per year.
  • Comprehensive nationwide medical, dental, and vision coverage for U.S.-based employees.
  • Flexible vacation policy, 10 company-wide holidays, and an annual winter break.
  • 16 weeks of fully paid parental and family leave with no tenure requirement.
  • Remote-friendly work culture with annual company-wide retreats.
  • Work-from-home setup reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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