Staff Applied Scientist, Ads Personalization

Unity

. Design, implement, and maintain user understanding models .

Posted 10/9/2026full-timeUnited StatesLead💰 $172,200 - $283,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing user understanding models, optimizing ad delivery systems, and applying advanced statistical methods for behavior modeling. Proficient in communicating complex technical concepts to diverse stakeholders and leading project execution in a collaborative environment.

Highest-signal resume keywords

Machine LearningUser Behavior ModelingPython ProgrammingAd Optimization SystemsReinforcement Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningUser Behavior ModelingAd Optimization SystemsPython ProgrammingGo ProgrammingScala ProgrammingC++ ProgrammingMetric DesignExperimentation MethodologiesData Analysis

Soft Skills

CommunicationCollaborationLeadership

Certifications & Qualifications

Advanced Degree in Computer SciencePh.D. in Machine Learning

Industry Keywords

Ads DeliveryOptimization AlgorithmsCohort AnalysisBehavior ProfilingControl Systems

Tech Stack

Tools & technologies

PythonScalaC++Go

About the role

Key responsibilities & impact

Design, implement, and maintain user understanding models
Monitor model performance and reliability
Calibrate predictions and address data drift or delayed feedback
Work with other leads to set the team’s long-term direction
Plan and oversee engineering designs and project execution
Communicate complex technical concepts to non-engineering stakeholders
Build and maintain advanced systems for understanding user behavior across applications
Improve ad ranking, conversion predictions, and recommendation systems
Enable richer behavioral models, smarter bidding strategies, and more effective ad performance

Requirements

What you’ll need

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience
5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems
3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis
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 analysis
Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces
Experience with state-of-the-art control systems and reinforcement learning algorithms
Sufficient knowledge of English for professional verbal and written exchanges

Benefits

Comp & 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
Equity awards
Participation in company incentive plans, such as annual discretionary bonuses or sales commissions