Senior Machine Learning Engineer, Advertiser Growth

What you'll do

• Design budget-pacing controllers and use forecasting to manage advertiser spend.
• Build backend systems integrating generative AI for campaign image and video assets, and scale marketplace experimentation.
• Architect high-throughput billing pipelines and analyze marketplace data to improve pacing and advertiser performance.

What they ask for

• Advanced degree in computer science or a relevant engineering-related field, or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience with large-scale, low-latency backend systems; budget-control or spend-prediction systems; and experimentation platforms.
• Experience with mission-critical financial pipelines and real-time stream processing applied to event-based charging or performance feedback.

Nice to have

• Experience or strong technical interest in backend workflows for serving, scaling, and storing Generative AI models for creative asset generation.
• Experience embracing AI as a strategic engineering advantage while following code-quality and security best practices.

Pay

$165,600 - $273,400 USD (base salary)

Tools

Java, Go, Scala, Kafka, Flink, Spark, Diffusion, LLMs

AI focus

Lead backend integration of Generative AI models, including Diffusion and LLMs, to create campaign-specific image and video assets; build workflows to serve, scale, and store creative-generation models.