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Applied Scientist, Vector AI

Unity
Mountain View, CA, USA
Posted 1 day ago
Last seen 5 hours ago
Active
full-time
AI & Machine Learning
$100,800 - $159,600 USD

Job Summary

Join Unity's Vector AI team as an Applied Scientist to develop and deploy cutting-edge machine learning models that optimize ad ranking and bidding for billions of daily impressions. This role offers the chance to significantly impact user experience by connecting players with games they love, leveraging your expertise in user understanding and conversion prediction.

About this job

Unity's Vector AI team seeks an Applied Scientist to design and ship user behavior models influencing ad ranking and conversion across billions of impressions. This role involves owning model quality, contributing to technical strategy, and bridging the gap between ML complexity and business reality.

Requirements

- Master or Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience. - 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains. - Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation. - Production experience in Python and at least one systems language (Go, Scala, C++, or similar). - Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar. - Knowledge of metric design, experimentation methodologies, and large-scale data. - Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security. - Experience with real-time bidding systems, auction dynamics, or marketplace optimization (optional). - Publications or patents in relevant areas (optional).

Benefits & Perks

- 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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