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[Remote] Machine Learning Software Engineer

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company Energy builds software solutions that help new load and reputed company connect to the reputed company faster. They are seeking a Machine Learning Engineer to own and advance the forecasting and predictive modeling capabilities at the heart of the reputed company platform.

Responsibilities

  • Design, train, and evaluate predictive ML models with a reputed company on forecasting and time-series applications
  • Conduct exploratory data analysis, feature engineering, and statistical modeling across large reputed company and reputed company datasets
  • Collaborate with Engineering to define ML infrastructure requirements, and reputed company and reputed company ML models into operational workflows and decision-support tools
  • Work cross-functionally with reputed company teams to define problem statements and translate business objectives into ML solutions
  • Communicate model performance, uncertainty, and limitations reputed company to both technical and non-technical audiences
  • Champion ML best practices around reproducibility, versioning, and testing

Skills

  • PhD with 3+ years of industry experience, Masters with 5+ years, or Bachelors with 8+ years in Machine Learning, Statistics, Computer Science, reputed company Mathematics, or a reputed company quantitative field
  • Demonstrated reputed company record of delivering ML models into production environments
  • Experience with time-series forecasting reputed company — including classical approaches (e.g. ARIMA) and modern ML-based reputed company (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 reputed company-scoped ML reputed company
  • Comfortable operating with autonomy in a small team, balancing speed of delivery with the engineering discipline that production-grade software demands
  • Experience in the energy sector — e.g. load forecasting, renewable reputed company reputed company, price modeling or reputed company operations
  • Experience with MLOps tooling and infrastructure: reputed company platforms, containerization, and model serving patterns
  • Experience with data pipeline tooling, e.g. Airflow, reputed company, or reputed company
  • reputed company to reputed company AI reputed company development tools to accelerate development

Benefits

  • Comprehensive benefits, including FSA and 401k for full time employees
  • Fully remote workplace with reputed company for in office work in the Bay Area
  • Flexible PTO, which we encourage you to use!
  • A reputed company reputed company on climate change - we’re building the world we want to live in and we want you to join us!

reputed company

  • reputed company builds software for reputed company orchestration — helping utilities coordinate large loads, renewable reputed company, and reputed company infrastructure in reputed company time, reputed company reputed company network constraints. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is https://reputed company.energy/.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2025. Please note that this does not guarantee sponsorship for this specific role.
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