Senior Staff Machine Learning Engineer, Ads Optimization

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Requirements:

• 10+ years of contributing high-quality code to production systems that operate at scale.
• 2+ years of experience operating as a Senior Staff engineer.
• 5+ years of experience in building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
• Experience leading large engineering teams and collaborating with cross-functional partners.
• Experience designing optimization algorithms in an ad serving platform or other marketplaces is preferred.
• Familiarity with control systems and reinforcement learning algorithms is a strong plus.
• Significant experience in Java, Python, Go, Scala, C++, or similar languages.
• Experience with data processing frameworks like Spark, Flink, Kafka.
• Familiarity with AWS or GCP as a cloud service provider.
• Experience with tools like Kubernetes, Docker, Airflow, etc.
• Familiarity with datastores such as ElasticSearch, Redis, and Postgres.

Responsibilities:

• Building Reddit-scale optimizations to improve advertiser outcomes using innovative techniques.
• Leveraging live auction data and model predictions to adjust campaign bids in real-time.
• Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms.
• Leading a team of 15+ engineers on designing new bid & budget optimization products.
• Conducting rigorous A/B experiments to evaluate business impact.
• Collaborating with cross-functional teams for customer representation.