Energy Forecasting ML Engineer — Remote-First + Equity

ENERLATTICE; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health coverage

Annual wellbeing budget

Equipment stipend

Flexible time off

Job summary

EnerLattice seeks a senior ML engineer to improve forecast accuracy for solar and grid forecasting, publishing uncertainty bands, and ensuring a strict boundary between model advice and settlement authority. Join a remote-friendly AI team with Berlin, Singapore, Austin, London, and Tokyo hubs.

The role emphasizes productionizing forecasting models with monitoring and rollback plans, collaborating with plant and settlement stakeholders, and contributing to a practical, scalable energy forecasting

Qualifications

• 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.
• Experience in energy markets, renewables, or grid forecasting is a plus.

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.

Skills

Time-series forecasting

Model deployment & monitoring

Stakeholder communication

Education

MS in ML/CS or related field

Tools

Model monitoring tools

CI/CD for ML deployment

Forecasting platforms

Job description

EnerLattice seeks a senior ML engineer to improve forecast accuracy for solar and grid forecasting, publishing uncertainty bands, and ensuring a strict boundary between model advice and settlement authority. Join a remote-friendly AI team with Berlin, Singapore, Austin, London, and Tokyo hubs.

The role emphasizes productionizing forecasting models with monitoring and rollback plans, collaborating with plant and settlement stakeholders, and contributing to a practical, scalable energy forecasting