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Senior Machine Learning Engineer, Advertiser Growth

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Onsite

Senior Machine Learning Engineer, Advertiser Growth

Ladders

Senior Machine Learning Engineer, Advertiser Growth

Skills

GolangJavaMachine LearningAIScala

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

14 September 2026

What they need


For our client, we are seeking a Senior Machine Learning Engineer, Advertiser Growth to join the team of a leader in the Information Technology space.

This role will focus on building and scaling the machine learning systems that support advertiser growth, spend optimization, and campaign performance. You will partner closely with engineering and data stakeholders to improve budget pacing, experimentation, and billing accuracy across high-throughput backend workflows. The work will also include enabling Generative AI-driven media asset creation within the company's advertising ecosystem.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $210,300 – $273,400 annually

Responsibilities

  • Design next-generation budget pacing systems to optimize advertiser spend
  • Lead integration of Generative AI models for creating campaign-specific media assets
  • Build infrastructure for high-velocity marketplace experimentation and testing
  • Ensure accuracy of high-throughput billing pipelines processing billions of events
  • Analyze financial datasets to optimize spend and advertiser performance

Qualifications

  • Advanced degree in computer science or a related engineering field, or equivalent experience
  • 6+ years of software engineering experience, including 3+ years on ads delivery systems
  • Proficiency in building large-scale, low-latency backend systems using Java, Go, or Scala
  • Experience with budget control systems and spend-prediction algorithms
  • Expertise in scaling experimentation platforms with knowledge of variance reduction and metric design
  • Proven track record in mission-critical pipelines with a focus on data precision and fault tolerance
  • Interest in backend workflows for Generative AI model serving

Benefits

  • Comprehensive health, life, and disability insurance
  • Commute subsidy
  • Employee stock ownership options
  • Competitive retirement and pension plans
  • Generous vacation and personal leave days
  • Support for new parents through leave and family care programs
  • Mental health and wellbeing programs and support

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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