ML Engineer (AI-Native Systems & Forecasting)
Core
Design, develop, and deploy production ML systems for demand forecasting, labor allocation intelligence, and LLM-powered workflows.
Role type
Senior IC machine learning engineer (forecasting & LLM systems)
Builds
Production-grade ML systems for demand forecasting and labor optimization
Domain
Logistics / Marketplace / AI
Deliverable
production ML models
Required skills
[machine learning system design], [full ML lifecycle ownership], [data ingestion & pipeline architecture], [LLM system development], [RAG pipeline implementation], [model evaluation & monitoring], [A/B testing & statistical validation], [time-series forecasting], [labor/logistics system integration]
Preferred skills
[custom model fine-tuning], [ML infrastructure management], [team mentoring]
Technologies
[RAG], [feature stores], [Airflow], [dbt]
Responsibilities
[Design and deploy production ML systems for forecasting and labor optimization], [Own the full ML lifecycle from data ingestion to monitoring], [Architect scalable data systems and pipelines], [Build and maintain LLM-native systems including RAG and prompt frameworks], [Implement continuous model evaluation and drift detection], [Run experiments including A/B testing and statistical validation]
Seniority
Senior, hands-on IC