Unity Technologies
Gaming
SeniorMachineLearningEngineer,AdsExperimentation&Measurements
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“Senior Machine Learning Engineer, Ads Experimentation & Measurements at Unity Technologies. Skills: Machine Learning, Experimentation, Causal Inference, Statistical Methodology. Evaluate pacing and ad selection systems. Drive product decisions through analytics”
Industry & Context.
Optimize our global advertising ecosystem; Rapidly iterate on machine learning models or ads delivery pipelines; Maximize sensitivity and accelerate evaluation cycles; Accelerate the deployment of high-performing models at scale
What They're Looking For.
Must Have
5+ years of experience in Data Science or Applied Research, MS or PhD in a quantitative field (Statistics, Economics, Computer Science, Operations Research, or equivalent), Deep expertise in causal inference, Deep expertise in experimental design, Deep expertise in frequentist/Bayesian statistics, Programming skills in Python or Scala, Experience with large-scale data processing frameworks, Practical experience implementing advanced testing methodologies like CUPED, interleaving, or switchback testing in production environments, Ability to translate complex statistical concepts into clear product roadmaps, Ability to mentor engineering teams on experimental rigor
Nice to Have
Experience building or maintaining internal experimentation platforms at a major tech company, Familiarity with the unique challenges of long-term value (LTV) prediction, Familiarity with surrogate metric design in mobile gaming or digital advertising, Experience embracing AI as a strategic advantage in engineering, Following established best practices for code quality and security
What You'll Do.
Evaluate pacing and ad selection systems
Drive product decisions through analytics
Build measurement frameworks
Analyze A test results
Translate experiment outcomes into insights
Design statistical methodologies for experimentation platform
Lead implementation of variance reduction
Lead implementation of sequential testing
Lead implementation of interleaving frameworks
Build statistical foundations for automated pipelines
Research and validate surrogate metrics
Provide ML teams with short-term signals
Build statistical foundations for automated pipelines
Serve as lead subject matter expert on experimentation
How You'll Work.
Team & Collaboration
Bridge the gap between advanced statistical methodology and large-scale engineering; Work with ML teams; Work with Product partners; Work with Business partners; Work with ML teams; Work with Product teams; Work with Engineering teams; Ensure statistical rigor is integrated throughout product lifecycle
Communication Scope
Translate complex statistical concepts into clear product roadmaps; Mentor engineering teams on experimental rigor; Communicate with colleagues and partners worldwide
Full Job Description
The opportunity Unity’s Ads Experimentation Platform team is looking for a senior machine learning engineer to lead the evolution of how we validate and optimize our global advertising ecosystem. At Unity, our ads reach billions of devices, and the ability to rapidly iterate on machine learning models or ads delivery pipelines is critical to our growth. In this role, you will be the technical authority for our experimentation and evaluation roadmap. You will bridge the gap between advanced statistical methodology and large-scale engineering, building the tools that allow ML teams to iterate faster and with higher confidence. You will join a team focused on high-velocity innovation, moving beyond standard A/B testing into the next generation of causal inference and high-sensitivity evaluation methodologies. What you'll be doing Ad Delivery Expertise: Hands-on experience evaluating pacing and ad selection systems, with strong domain knowledge of the ads ecosystem (advertiser objectives, bidding/pricing dynamics, attribution, and marketplace mechanics) and practical familiarity with simulation-based measurement to pre-validate model and policy changes before live deployment. Product Analytics & Insights: Demonstrated ability to drive product decisions through analytics — defining metrics, building measurement frameworks, analyzing A/B test results, and translating experiment outcomes into clear, actionable insights for ML, Product, and Business partners Advance Experimentation Platform: design the statistical methodologies of our experimentation platform in a complex, budget-constrained environment. You will lead the implementation of variance reduction (CUPED), sequential testing, and interleaving frameworks to maximize sensitivity and accelerate evaluation cycles. You will also build the statistical foundations for automated pipelines that autonomously test and select optimal features and hyperparameters at scale. Define Long-Term Value (LTV) Proxy Metrics: Research
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