Senior Machine Learning Engineer, Ads Modeling

Unity

. Understand Unity ads business, including product offerings, advertiser goals, the ads serving funnel, and rich real-time and dynamic user interaction data .

Posted 9/28/2026full-timeUnited StatesSenior💰 $148,700 - $244,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applying machine learning and deep learning models to user behavior modeling and large-scale data analysis, with proficiency in Python and PyTorch. Capable of collaborating with cross-functional teams to drive projects from research to production, delivering measurable business results.

Highest-signal resume keywords

Machine LearningDeep LearningUser Behavior ModelingPython ProficiencyPyTorch Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningUser Behavior ModelingLarge-Scale Data AnalysisMetric DesignDistributed Computing Frameworks

Soft Skills

Problem SolvingCollaborationProject Management

Tools & Technologies

PythonPyTorchDeep Learning Frameworks

Industry Keywords

Ads Recommendation AlgorithmsPersonalized AdvertisingReal-Time DataDynamic User Interaction Data

Tech Stack

Tools & technologies

PythonPyTorchUnity

About the role

Key responsibilities & impact

Understand Unity ads business, including product offerings, advertiser goals, the 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
Advance ads recommendation algorithms to deliver personalized advertising experiences

Requirements

What you’ll need

Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems
Experience specifically in user behavior modeling
Proficiency in Python
Proficiency in PyTorch
Proficiency in deep learning frameworks
Solid understanding of metric design
Experience with large-scale data analysis
Experience with distributed computing frameworks
Proven ability to drive projects end-to-end
Ability to solve critical cross-team problems and deliver measurable business results
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 may be available
Participation in company incentive plans, such as annual discretionary bonuses or sales commissions, may be available