Description

You will build and deploy machine learning systems that drive core advertising functions.

Responsibilities

• Develop systems to recommend ad placements, suggest products, and optimize keywords, bids, and budgets.
• Build and manage data pipelines, train and improve ML models, and deploy models into production.
• Implement monitoring tools to ensure production systems operate correctly and improve system latency.
• Analyze experiment results and communicate technical insights to non-technical stakeholders.
• Monitor production systems and troubleshoot failures.

Required Skills

• 5+ years of professional experience in ML engineering.
• Strong proficiency in Python, SQL, and Java or Scala.
• Proven experience deploying ML models into live, production environments.
• Experience working with large-scale data processing tools (e.g., Spark, big databases).
• Understanding of how ML systems operate at scale (cloud infrastructure, GPUs, autoscaling).
• Familiarity with core machine learning concepts and practical application.
• Ability to debug complex system issues and communicate clearly across teams.

Preferred Skills

• Experience with Deep Learning or LLMs.
• Familiarity with monitoring tools like Grafana Dashboards.

Key Skills

Education

Any Gradute