Staff Machine Learning Engineer, Forecasting in Berlin

Staff Machine Learning Engineer, Forecasting in Berlin

Berlin Vollzeit Vor Ort
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About The Role

You will improve forecast accuracy and published error bands while keeping a hard boundary between advice and settlement authority.

Responsibilities

  • Improve forecast accuracy and published error bands.
  • Ship model updates that operators can trust in daily planning.
  • Keep a hard boundary between advice and settlement authority.

Requirements

  • Staff-level ML experience with time-series or forecasting systems.
  • Ability to productionize models with monitoring and rollback plans.
  • Clear communication with plant and settlement stakeholders.

Nice to Have

  • Experience in energy markets, renewables, or grid forecasting.
  • Background publishing uncertainty / error-band calibrated models.
  • Familiarity with operator tooling and human-in-the-loop workflows.

Why EnerLattice

  • Forecasts that operators use every interval—not offline research only.
  • Clear separation between model advice and settlement authority.
  • Berlin hub option with a remote-friendly AI team.

Benefits & perks

  • Competitive salary with meaningful equity
  • Remote-first collaboration with hubs in Berlin, Singapore, Austin, London, and Tokyo
  • Health coverage plus an annual wellbeing budget
  • Equipment stipend and flexible time offWork on a real solar plant and the settlement network around it
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Kontaktdaten:

ENERLATTICE Recruiting-Team