Founding ML Platform Engineer — Energy Forecasting & Infra

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity

Job summary

Energy Intelligence in San Francisco is seeking a founding ML Platform Engineer to design and own the core data and ML infrastructure that forecasts load and market prices. You will own the spine: ISO/RTO market feeds, weather and plant telemetry through a feature store, serving, drift detection and the model gateway.

Python, SQL, Airflow, containers and IaC are part of the stack. 5+ years on production data and ML platforms; energy background welcome, not required.

Qualifications

• Python, SQL, Airflow, containers and IaC used in production ML platforms.
• 5+ years on production data and ML platforms; energy background welcome, not required.

Responsibilities

• Own the spine: market feeds, feature store, drift detection and the model gateway.

Skills

Python

SQL

Airflow

Containers

IaC

Tools

Docker

Kubernetes

Job description

Energy Intelligence in San Francisco is seeking a founding ML Platform Engineer to design and own the core data and ML infrastructure that forecasts load and market prices. You will own the spine: ISO/RTO market feeds, weather and plant telemetry through a feature store, serving, drift detection and the model gateway.

Python, SQL, Airflow, containers and IaC are part of the stack. 5+ years on production data and ML platforms; energy background welcome, not required.