ML Engineer, Ads Personalization & Optimization

Unity Technologies

Mountain View (CA)

On-site

USD 159,600 - 239,400

Full time

14 days+

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Benefits offered by this job

Health insurance
Commuter subsidy
Employee stock ownership
Competitive retirement plans
Generous vacation and personal days
Parental leave

Job summary

Unity is seeking a Senior Gamer AI Engineer to advance our ad ranking and recommendation systems. You will build and maintain user understanding models, ensuring model quality and addressing data drift across large-scale deployments.

Applicants should have 5+ years in Ads systems, 3+ years in content understanding, and strong proficiency in Python, Go, Scala, or C++. This role is based in Mountain View, CA with on-site expectations.

Qualifications

  • Advanced degree in CS/ML/Statistics or equivalent practical experience.
  • 5+ years building and operating large-scale Ads delivery/optimization systems.
  • 3+ years in content understanding, behavior modeling, user profiling, and cohort analysis.
  • Knowledge of metric design, experimentation, and large-scale data analysis.

Responsibilities

  • Design, implement, and maintain user understanding models.
  • Monitor performance, calibrate predictions, and address data drift or delayed feedback.
  • Set long-term direction with leads, plan and oversee engineering designs and execution.
  • Translate complex technical concepts for non-engineering stakeholders.

Skills

Advanced degree in CS/ML/Statistics
Machine learning
Communication with stakeholders

Education

MS or PhD in Computer Science, Machine Learning, Statistics

Tools

Python
Go
Scala
C++

Job description

Unity is seeking a Senior Gamer AI Engineer to advance our ad ranking and recommendation systems. You will build and maintain user understanding models, ensuring model quality and addressing data drift across large-scale deployments.

Applicants should have 5+ years in Ads systems, 3+ years in content understanding, and strong proficiency in Python, Go, Scala, or C++. This role is based in Mountain View, CA with on-site expectations.

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