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Senior Machine Learning Engineer (Ads Modeling)

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Onsite

Senior Machine Learning Engineer (Ads Modeling)

Unity

Senior Machine Learning Engineer (Ads Modeling)

Skills

Deep LearningPythonPyTorchData AnalysisMachine LearningAIWorkday

1 month ago

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Important information


Contract type:

Permanent

Salary:

$188,200 – $244,600 / year

Location:

Mountain View, CA, USA

Work mode:

Onsite

Published on:

11 September 2026

What they need


  • Unity Vector represents the next generation of our AI-powered advertising ecosystem—a forward-looking evolution of our machine learning infrastructure and models
  • We are seeking a Senior Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-impact team to advance ads recommendation algorithms to deliver personalized ads experience
  • Understand Unity ads business, including product offering, advertisers goals, ads serving funnel, and rich real-time and dynamic user interaction data
  • Drive foundational research for new models and paradigms
  • Leverage rich user data and large-scale compute to validate models rapidly
  • Collaborate closely with engineering and product teams to productionalize research

Benefits

  • Comprehensive health, life and disability insurance
  • Employee stock ownership
  • Generous vacation and personal days
  • Office food and free snacks, lots of health options!
  • Employee Resource Groups
  • Training and development programs
  • Commute subsidy
  • Competitive retirement/pension plans
  • Paid leave for new parents
  • Mental Health and Wellbeing programs and support
  • Global Employee Assistance Program
  • Volunteering and donation matching program- Strategic Impact: Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results
  • Data & Analytics: Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks
  • Expertise: Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems, specifically in the domains of user behavior modeling. Proficiency in Python, Pytorch and deep learning frameworks

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