Backend Engineer II - Native Ads - Music

📋 Description

• Design, build, and operate backend services and data pipelines for Native Ads forecasting and delivery.
• Develop data infra behind ML forecasting models predicting reach, clicks, conversions, and supply.
• Build systems enabling scalable forecasting: bulk buying, multi-subcampaign budgets, high-throughput serving.
• Contribute to supply optimization: pacing, allocation, and auction infra to maximize revenue.
• Collaborate with data scientists/ML engineers to productionize models and build feature pipelines.
• Improve data quality, pipeline reliability, and observability across forecasting/delivery stack.

🎯 Requirements

• 3+ years backend engineering with data engineering or ML infra exposure.
• Proficient in Java, Scala, or Python; building scalable services and pipelines.
• Experience with distributed processing: Scio, Apache Beam, Spark, Flink, or Dataflow.
• Familiar with cloud data platforms (GCP) including BigQuery, Cloud Storage, Pub/Sub, Dataflow.
• Understand data modeling, orchestration, and batch vs streaming tradeoffs.
• Keen on data quality and reliability; build infra trusted by ML models.

🎁 Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays