Staff Machine Learning Engineer, Forecasting

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 off
• Work on a real solar plant and the settlement network around it