Unity Technologies

SeniorMachineLearningEngineer,ConversionModeling

$172–258k Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer, Conversion Modeling at Unity Technologies. Skills: Machine Learning, Deep Learning, Conversion Rate Prediction, Ranking Systems, Python, PyTorch. design and build scalable machine learning systems that power ad ranking and conversion prediction. develop the state-of-the-art conversion rate prediction model”

What You'll Achieve.

deliver measurable business impact; deliver measurable impact

Industry & Context.

Problems you'll solve

Solve cold-start problems

Eligibility Requirements

International relocation support is not available for this position

What They're Looking For.

Must Have

software engineering skills in Python, experience with deep learning frameworks, Solid understanding of metric design, experimentation frameworks, large-scale data analysis, Proven ability to lead projects end-to-end, deliver measurable business impact, sufficient knowledge of English to have professional verbal and written exchanges in this language

Nice to Have

Experience working with large datasets, distributed computing frameworks, Experience building CVR systems, content understanding, behavior modeling systems, Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security

What You'll Do.

design and build scalable machine learning systems that power ad ranking and conversion prediction

develop the state-of-the-art conversion rate prediction model

and optimize the CVR prediction model

Build and enhance multi-objective ranking systems balancing retention

Solve cold-start problems for new users

Conduct offline evaluations and online A experiments to deliver measurable impact

Continuously improve model quality

and system scalability

How You'll Work.

Team & Collaboration

Partner closely with product, infrastructure, and monetization teams

Communication Scope

professional verbal and written exchanges in this language

Process & Methodology

lead projects end-to-end

Full Job Description

The opportunity We are looking for a Senior Machine Learning Engineer to join our Ads Conversion Modeling team. In this role, you will design and build scalable machine learning systems that power ad ranking and conversion prediction across large-scale advertising platforms. As a key member of the Vector AI group, you will play a central role in driving Unity’s monetization engine. You will work with massive datasets and rich signals to develop the state-of-the-art conversion rate prediction model. This model serves as the core intelligence behind delivering the right ad to the right user at the right time, maximizing both user experience and advertiser outcomes. What you'll be doing Design, implement, and optimize the CVR prediction model Build and enhance multi-objective ranking systems balancing retention, monetization, diversity, and long-term value Solve cold-start problems for new users, new games, and new creatives Conduct offline evaluations and online A/B experiments to deliver measurable impact Partner closely with product, infrastructure, and monetization teams Continuously improve model quality, serving latency, and system scalability What we're looking for Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems Strong software engineering skills in Python and experience with deep learning frameworks, preferably PyTorch Solid understanding of metric design, experimentation frameworks, and large-scale data analysis Proven ability to lead projects end-to-end and deliver measurable business impact You might also have Experience working with large datasets and distributed computing frameworks Experience building CVR systems, content understanding, or behavior modeling systems Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security Additional information International relocation support is not available for this position B

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