Staff Machine Learning Engineer, Ads Optimization

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Requirements:

• 7+ years of contributing high-quality code to production systems that operate at scale.
• 5+ years of experience 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 and/or other marketplaces.
• Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
• Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
• Experience with a cloud service provider like AWS or GCP.
• Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
• Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
• Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Responsibilities:

• Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
• Leverage live auction data and model predictions to adjust campaign bids in real time.
• Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
• Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
• Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.