Enterprise · Game engine
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).
Currently tracking 35 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$300k (avg $197k).
| Title | Stage | AI score |
|---|---|---|
| Senior AI Engineer Senior AI Engineer at Unity to build and deploy LLM-powered agents and production AI infrastructure, embedding agentic workflows into the engineering culture. Responsibilities include designing autonomous agents, tackling complex engineering challenges, scaling AI-driven tooling, owning the full lifecycle of AI features, building evaluation pipelines and observability tooling, and collaborating cross-functionally. Requires 5+ years of software engineering experience with 1-2 years in shipping AI/LLM systems, strong backend skills, hands-on experience with agentic systems and production LLMs, cloud platforms, and evaluation/observability tooling. | AgentServe | 8 |
| Senior Data Scientist Senior Data Scientist at Unity, focusing on building and deploying state-of-the-art ML systems to optimize user experiences for billions of users. The role involves tackling challenging problems with diverse datasets, exploring novel approaches, and deploying models at scale. Success is defined by shipping production models with measurable impact within 3 months and owning major ML initiatives end-to-end long-term. Requires strong Deep Learning expertise, proven ability to deliver production ML models, an AI-Native Builder Mentality, strong programming skills in Python and the Deep Learning stack, self-directed research capability, and a structured problem-solving methodology. |
| Ship |
| 8 |
| Senior Data Scientist Senior Data Scientist at Unity's Aura platform, focusing on leading research, design, and end-to-end development of large-scale machine learning systems, particularly recommendation systems. The role involves building and deploying scalable online models, driving projects from business questions to production, and collaborating across teams. Requires strong software engineering, deep learning, and big data experience, with a preference for LLM/agentic framework and observability experience. | AgentServe | 7 |