Define and implement the strategy for collecting, structuring, and classifying proprietary data from Unity's engine and runtime (code, assets, in-engine behaviors, usage patterns)
Partner with engineering teams to design data pipelines that feed downstream AI/ML products and build scalable collection mechanisms
Identify and validate which data and labels will be most valuable for machine learning applications and developer-facing services
Transform data assets into authoring capabilities that developers can use to improve their games and applications
Collaborate with product and go-to-market partners to position Unity's data capabilities as a key differentiator in the market

Requirements

Hands-on experience with ML workflows, particularly data collection, labeling, classification, and structuring datasets for model training
Deep understanding of game development or app development workflows and the ability to identify developer pain points
Proven track record of building developer-facing products that translate technical capabilities into clear user value
Ability to work effectively in multi-functional teams spanning engineering, data science, and product
Experience making data-driven decisions about what to build and how to prioritize based on important metrics and user impact
Experience designing features that encourage data sharing while respecting user privacy and creating mutual value

Benefits

We offer a wide range of benefits designed to support employees' well-being and work-life balance.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning workflowsdata collectiondata labelingdata classificationdataset structuringdata pipelinesdata-driven decision makingfeature designgame developmentapp development

Soft Skills

collaborationcommunicationproblem-solvingmulti-functional teamworkuser empathyprioritizationstrategic thinkingcreativityadaptabilityleadership