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September 19, 2026

Senior Machine Learning Engineer, Vector Bidding Science

Senior

188,200 - 244,600 USD/yr

Mountain View, CA

Quick Facts

Senior Machine Learning Engineer within Vector Bidding Science, focused on architecting scalable real-time bidding systems powered by AI and optimization.

Description

You will define the technical vision and build the next generation of scalable real-time bidding systems using AI, marketplace intelligence, and advanced optimization frameworks. Using massive datasets and rich signals, you will develop state-of-the-art bidding and pacing algorithms to automatically maximize advertisers’ returns.

Responsibilities

  • Design, implement, and optimize core bidding algorithms and auction mechanisms
  • Architect and scale bid landscape forecasting capabilities
  • Analyze large-scale marketplace dynamics to uncover insights and deliver algorithmic improvements
  • Drive offline evaluations and online A/B experiments to validate model performance and deliver measurable business impact
  • Collaborate cross-functionally with product, infrastructure, and engineering teams

Requirements

  • Hands-on experience in machine learning, reinforcement learning, and control theory applied to real-world bidding or pricing problems
  • Strong software engineering skills in Python
  • Experience with deep learning frameworks, preferably PyTorch
  • Solid understanding of metric design, online experimentation frameworks (A/B testing), and large-scale data analysis
  • Proven ability to lead projects end-to-end and deliver measurable business impact in ambiguous technical environments
  • Sufficient knowledge of English for professional verbal and written exchanges with colleagues and partners worldwide

Benefits

  • Comprehensive health, life, and disability insurance
  • Commute subsidy
  • Employee stock ownership
  • Competitive retirement/pension plans
  • Generous vacation and personal days
  • Support for new parents through leave and family-care programs
  • Office food snacks
  • Mental Health and Wellbeing programs and support
  • Employee Resource Groups
  • Global Employee Assistance Program
  • Training and development programs
  • Volunteering and donation matching program

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