Unity Technologies

Gaming

MachineLearningEngineer,UserUnderstanding(Entry-Level/NewGrad)

$101–156k Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Machine Learning Engineer, User Understanding (Entry-Level / New Grad) at Unity Technologies. Skills: Machine Learning, Python, User Behavior Models. Design user behavior models. Implement user behavior models”

What You'll Achieve.

Higher user engagement; Stronger conversion performance; Better return on ad spend; Achieve advertiser goals; Deliver engaging user experience; Influence ad ranking; Influence bidding; Influence conversion outcomes

Industry & Context.

Gaming
Problems you'll solve

Curiosity about how ads work; Curiosity about how recommendations work; Curiosity about how user behavior works

Eligibility Requirements

Relocation support is not available, Work visa/immigration sponsorship is not available

What They're Looking For.

Must Have

BS in Computer Science, Machine Learning, Statistics, or related field, foundation in Python or similar programming languages, Familiarity with machine learning fundamentals, Familiarity with statistical analysis

Nice to Have

First experience, publications, or academic projects in the ads domain or recommendation systems, Exposure to experimentation and A testing frameworks, Experience using AI tools like Claude Code or GitHub Copilot

What You'll Do.

Design user behavior models

Implement user behavior models

Optimize user behavior models

Monitor model performance

Identify data quality issues

Identify model degradation

Write maintainable code

Participate in code reviews

Learn how models work

Communicate how models work

How You'll Work.

Team & Collaboration

Work alongside experienced engineers; Communicate how our models work to cross-functional partners

Communication Scope

Professional verbal exchanges; Professional written exchanges; Frequent communication with colleagues; Regular communication with partners

Full Job Description

The opportunity Our Gamer AI team develops conversion rate prediction and market price models that power our ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend, helping advertisers achieve their goals while delivering a more engaging experience for users. We are seeking a motivated Machine Learning Engineer to support the development and maintenance of systems for understanding user behavior across applications. You will contribute to improving ad ranking, conversion predictions, and recommendation systems, working alongside experienced engineers to build behavioral models and optimize ad performance. What you'll be doing Design, implement, and optimize user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions. Monitor model performance and help identify data quality issues or model degradation. Write clean, maintainable code and participate in code reviews to improve your craft. Learn and communicate how our models work to cross-functional partners. What we're looking for BS in Computer Science, Machine Learning, Statistics, or related field. Strong foundation in Python or similar programming languages. Familiarity with machine learning fundamentals and statistical analysis. Curiosity about how ads, recommendations, and user behavior work at scale. Hungry to grow through rapid iteration, experimenting with real signals and learning what works at scale. You might also have First experience, publications, or academic projects in the ads domain or recommendation systems. Exposure to experimentation and A/B testing frameworks. Experience using AI tools like Claude Code or GitHub Copilot to learn and build faster. Additional information Relocation support is not available for this position Work

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