Staff Machine Learning Engineer, Forecasting

Role overview Lead forecasting work for production, consumption, electricity costs, and battery needs across operating intervals. The role combines improving forecast accuracy with delivering monitored model updates that operators can use, while keeping model recommendations separate from settlement authority.

Responsibilities - Improve forecast quality and the error ranges reported alongside predictions. - Deploy model updates that support operators' day-to-day planning. - Productionize models with monitoring and rollback plans. - Maintain a clear boundary between model advice and decisions that govern settlement. - Communicate model behavior and changes to plant and settlement stakeholders.

Requirements - Staff-level machine learning experience with time-series or forecasting systems. - Experience taking models into production with monitoring and rollback plans. - Ability to communicate clearly with operational and settlement stakeholders.

Nice to have - Experience in energy markets, renewable generation, or grid forecasting. - Experience calibrating and publishing uncertainty estimates or forecast error bands. - Familiarity with operator tools and human-in-the-loop workflows.

Benefits and work setup - Full-time hybrid role based in Berlin or remote, with a remote-friendly team. - Compensation includes salary and equity, health coverage, a wellbeing budget, equipment support, and flexible time off.