ML Engineer II - Fulfillment Platform & Pipelines

etsy; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Etsy is hiring a Machine Learning Engineer II to join the Fulfillment ML team. You will work on models powering Etsy's shipping and delivery estimates, pricing, and fulfillment decisions at scale, collaborating with engineers, data scientists, and product teams.

The role combines ML platform engineering—building pipelines and tooling—with applied ML work, including model evaluation, backtests, tuning, and readiness reviews.

Qualifications

• Experience building ML pipelines and deploying models to production.
• Familiarity with end-to-end ML lifecycle: training, validation, promotion, inference.
• Collaborative mindset with cross-functional partners.

Responsibilities

• Build and maintain ML training, validation, promotion, and batch‑inference pipelines.
• Extend Airflow DAGs for model workflows across environments.
• Collaborate on backtests, tuning, and readiness reviews with team.
• Assist migrations to internal ML platform and config wiring.
• Debug production incidents affecting model-driven surfaces.
• Improve observability and data quality tagging to catch issues early.

Skills

Python

PyTorch

Airflow

Spark

Ray

BigQuery

GCS

Vertex AI

Dataproc

Tools

Python

PyTorch

Airflow

Spark

Ray

BigQuery

Google Cloud

Vertex AI

Dataproc

Job description

Etsy is hiring a Machine Learning Engineer II to join the Fulfillment ML team. You will work on models powering Etsy's shipping and delivery estimates, pricing, and fulfillment decisions at scale, collaborating with engineers, data scientists, and product teams.

The role combines ML platform engineering—building pipelines and tooling—with applied ML work, including model evaluation, backtests, tuning, and readiness reviews.