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Senior Machine Learning Systems Engineer - Ads ML Experience Platform
ML Engineer
Lead the design and operation of scalable ML pipelines for advertising, leveraging Airflow, Argo Workflows, and robust artifact versioning to deliver autonomous, production‑grade machine learning services.
About the role
Key Responsibilities
- Architect, build, and maintain end‑to‑end ML pipelines that ingest, process, and serve advertising data at scale.
- Implement and optimize workflow orchestration using Airflow and Argo Workflows, ensuring reliability and observability.
- Design and enforce artifact versioning strategies for models, datasets, and code to support reproducibility and rollback.
- Collaborate with data scientists and product teams to translate ML research into production‑ready services.
- Monitor pipeline performance, troubleshoot failures, and continuously improve throughput and latency.
Requirements
- 5+ years of experience in production ML engineering, preferably in advertising or large‑scale data environments.
- Strong proficiency in Python and experience with Airflow and Argo Workflows.
- Hands‑on knowledge of artifact versioning tools (e.g., MLflow, DVC) and CI/CD pipelines.
- Excellent problem‑solving skills and a passion for building autonomous, resilient systems.
- Effective communication skills to collaborate across cross‑functional teams.
Skills
machine learningairflowpython