Unity is looking to transform its Engine into a data-powered platform to help creators understand and serve their players better. The company aims to build richer, safer runtime signals directly into the Engine, enabling machine learning engineers and product teams to improve player acquisition, understanding, and retention. This involves converting Unity's unique position into actionable data products that create internal value for AI/ML initiatives and external value for the developer community, establishing a competitive advantage through proprietary data.
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
- 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
Responsibilities
- 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
Other
- Ability to work effectively in multi-functional teams spanning engineering, data science, and product
- International relocation support is not available for this position
- This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
