Currently tracking 35 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$300k (avg $197k).
Unity has 38 active AI-related job listings, with a significant focus on agents, representing 32% of the roles, and serving infrastructure at 29%. The majority of these positions are within the Engineering function, with hiring concentrated in the United States. Frequent technical tags include model_serving, inference_infra, and agent_orchestration, suggesting a direction toward operationalizing AI models. In the last 30 days, Unity has posted 27 new AI roles, a substantial increase of 440% compared to the previous 30-day period.
Unity currently has 53 active AI-related roles in our index. The most common open titles are: Senior Machine Learning Engineer, Advertiser Growth (4), Staff Machine Learning Engineer, ML Infrastructure (4), Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) (3), Senior Data Scientist (3), Senior Machine Learning Infrastructure Engineer (3). Most positions are in Engineering and Research.
Unity's active AI hiring is concentrated in: agents (36%), serving infrastructure (28%), data (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Unity is hiring AI talent in: United States (40 roles), Canada (5 roles), Israel (4 roles), China (4 roles).
Job postings at Unity most frequently reference: model serving, inference infra, recommender systems, agent orchestration, llm observability.
In the past 30 days, Unity has posted 13 new AI-related roles. That is a -62% change versus the prior 30 days (34 → 13).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) This role focuses on designing, building, and evaluating next-generation recommendation and ranking systems for ads, incorporating LLMs, RLHF, and preference learning. It involves developing user understanding systems, applying reinforcement learning to bidding strategies, and conducting rigorous experiments. The role partners with engineering to bring research ideas into production across the full pipeline. | ShipPost-train | 8 |
| Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) This role focuses on designing, building, and evaluating next-generation recommendation and ranking systems for ads, incorporating LLMs, RLHF, and preference learning. It involves developing user understanding systems, applying reinforcement learning to bidding strategies, and conducting rigorous experiments. The role partners with engineering to bring research ideas into production across the full pipeline. |
| ShipPost-train |
| 8 |
| Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) This role focuses on designing, building, and evaluating next-generation recommendation and ranking systems for ads, incorporating LLMs, RLHF, and preference learning. It involves developing user understanding systems, applying reinforcement learning to bidding strategies, and conducting rigorous experiments. The role partners with engineering to bring research ideas into production across the full pipeline. | ShipPost-train | 8 |
| Senior Machine Learning Engineer, Ads Experimentation & Measurements Senior Machine Learning Engineer to lead the evolution of the Ads Experimentation Platform at Unity. This role focuses on validating and optimizing global advertising ecosystem by bridging advanced statistical methodology with large-scale engineering. Responsibilities include evaluating ad delivery systems, driving product decisions through analytics, advancing the experimentation platform with methodologies like CUPED and sequential testing, defining LTV proxy metrics, and driving automated ML experimentation pipelines. The role requires expertise in causal inference, experimental design, and large-scale data processing within the Ad Tech domain. | ShipData | 7 |
| Senior Machine Learning Engineer, Ads Experimentation & Measurements Senior Machine Learning Engineer to lead the evolution of the Ads Experimentation Platform at Unity. This role focuses on validating and optimizing global advertising ecosystem by bridging advanced statistical methodology with large-scale engineering. Responsibilities include evaluating ad delivery systems, driving product decisions through analytics, advancing the experimentation platform with methodologies like CUPED and sequential testing, defining LTV proxy metrics, and driving automated ML experimentation pipelines. The role requires expertise in causal inference, experimental design, and large-scale data processing within the Ad Tech domain. | ShipData | 7 |
| Senior Machine Learning Engineer, Conversion Modeling Senior ML Engineer role focused on building and operating state-of-the-art conversion rate (CVR) prediction and market price models for Unity's ad ranking and recommendation systems. The role involves designing, implementing, and maintaining high-performance CTR/CVR prediction models, building systems for creative understanding and user behavior modeling, and ensuring model quality and reliability. This is a customer-facing product role within the consumer domain. | Ship | 7 |
| Senior Machine Learning Developer, Advertiser Growth Senior Machine Learning Developer for Advertiser Growth at Unity, focusing on building GenAI systems for creative asset generation, optimizing budget pacing algorithms, developing experimentation infrastructure, and ensuring high-scale billing reliability within the ad-tech ecosystem. | Ship | 5 |