ENERLATTICE
1 Stelle · nach Relevanz
Staff Machine Learning Engineer, Forecasting
Anzeige auf Englisch
ArbeitsortBerlin
Gehalt120.000–160.000 € brutto/Jahr
HomeofficeKeine Angabe
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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