ML Platform Engineer — End-to-End Production Pipelines & Equity

Lantern is seeking a Machine Learning Engineer in San Francisco to scale the core ML platform behind our product. You will own the data ingestion, training pipelines, and the end-to-end ML workflow that generates customer recommendations used across all accounts.

We expect 4–6 years in ML or software roles, strong production-grade coding, and hands-on experience with Python, AWS or GCP, and orchestration tools like Airflow or Kubeflow. This is an in-office role with a tight-knit founding team.