Staff Machine Learning Engineer, Ads Optimization

View full description

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 ad serving platforms or marketplaces.
• Significant experience in Java, Python, Go, Scala, C++, or similar.
• Experience with data processing frameworks like Spark, Flink, Kafka.
• Familiarity with cloud service providers like AWS or GCP.
• Experience with tools such as Kubernetes, Docker, Airflow.
• Familiarity with datastores like ElasticSearch, Redis, Postgres.
• Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Responsibilities:

• Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge 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 the design of new bid & budget optimization products and algorithms.
• Conducting rigorous A/B experiments to evaluate business impact.
• Collaborating with leads to set long-term team direction, planning, and design.