Senior Machine Learning Engineer, Advertiser Growth

What you'll do

• Design and ship campaign optimization algorithms for advertiser goals under budget and marketplace constraints.
• Build strategies and measurement frameworks for exploration, long-term impact, and launch decisions.
• Develop LLM agents for campaign diagnostics and setup recommendations, and provide technical leadership across ML, Product, and Engineering.

What they ask for

• Experience in machine learning, data science, or applied research.
• MS or PhD in a quantitative field, or equivalent.
• Strong programming skills in Python or Scala and experience with large-scale data processing frameworks.
• Track record shipping ML systems on high-volume, real-time data with measurable business impact; hands-on experience building LLM-based agentic systems.

Nice to have

• Experience with dynamic ads or creative optimization, or bidding, pricing, pacing, or auction systems.
• Experience with production reinforcement learning or contextual bandits, LTV prediction, surrogate metrics, or LLM fine-tuning and evaluation.

Pay

$148,700 - $244,600 USD (base salary)

Tools

Python, Scala, Spark, Snowflake, BigQuery

AI focus

Applies machine learning and statistical optimization to advertising campaigns, including exploration-exploitation strategies, long-term impact measurement, and LLM-based agents for campaign diagnostics and setup recommendations.