Unity has 49 active AI-related job listings. The majority of these roles are focused on agents, representing 35% of the total. Engineering is the dominant function, with 46 positions. The United States is the primary hiring country, accounting for 37 of the listings. Frequent tech tags include model_serving, recommender_systems, and agent_orchestration. In the last 30 days, there were 0 new AI roles posted, a 100% decrease compared to the prior 30 days.
Currently tracking 38 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $100k–$300k (avg $197k).
Unity currently has 49 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 Machine Learning Infrastructure Engineer (3), Staff Software Engineer, Feature Platform (3). Most positions are in Engineering and Research.
Unity's active AI hiring is concentrated in: agents (35%), serving infrastructure (27%), data (22%). 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 (37 roles), China (5 roles), Canada (4 roles), Israel (3 roles).
Job postings at Unity most frequently mention: Performance Optimization, A/B Testing, Model Monitoring, Data Pipelines, Apache Airflow.
In the past 30 days, Unity has posted 0 new AI-related roles. That is a -100% change versus the prior 30 days (9 → 0).
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer, Vector Bidding Science Staff Machine Learning Engineer to architect and optimize scalable real-time bidding systems using AI and advanced optimization frameworks for Unity's ads engine, focusing on maximizing advertiser returns through state-of-the-art bidding and pacing algorithms. | Serve | 8 |
| Principal Machine Learning Engineer, Mobile AI Inference Optimization Principal Machine Learning Engineer focused on optimizing multi-modal AI model inference for mobile on-device deployment at Unity. This role involves technical leadership in model compression, quantization, pruning, knowledge distillation, and selecting inference runtimes. The engineer will own the end-to-end optimization pipeline, translate research into deployable implementations, and mentor a team. Requires 8+ years of ML engineering experience with a focus on on-device inference optimization and production deployment of transformer or generative models on mobile hardware. |
| 8 |
| Senior Backend Engineer, ML Inference Systems Senior Backend Engineer focused on building and operating the infrastructure for large-scale ML model inference, handling billions of daily requests with a focus on performance, reliability, and scalability. | Serve | 7 |
| Développeur(se) Backend Sénior, Systèmes d’inférence ML / Senior Backend Engineer, ML Inference Systems Senior Backend Engineer responsible for building and operating distributed systems that handle billions of daily requests for ML inference, focusing on low latency, high throughput, reliability, and scalability. The role involves defining technical direction for the inference platform, collaborating with ML developers, and managing cloud infrastructure. | Serve | 7 |
| Développeuse ou développeur côté serveur (backend) Staff — Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems Staff Backend Engineer responsible for designing, building, and operating production-grade distributed systems for large-scale, low-latency ML model inference, focusing on performance, reliability, and scalability within a cloud environment (GCP, Kubernetes). | Serve | 7 |
| Senior Machine Learning Infrastructure Engineer Senior Machine Learning Infrastructure Engineer for Unity's Vector Ads team, focusing on building and operating real-time, high-scale, low-latency ML serving infrastructure for a global advertising platform. Responsibilities include designing, building, and maintaining serving pipelines, partnering with ML engineers for productionization, and improving infrastructure efficiency. | Serve | 7 |
| Senior Machine Learning Infrastructure Engineer Senior Machine Learning Infrastructure Engineer for Unity's Vector Ads team, focusing on building and operating real-time, high-scale, low-latency ML serving infrastructure for a global advertising platform. Responsibilities include designing, building, and maintaining serving pipelines, partnering with ML engineers for productionization, and improving infrastructure efficiency. | Serve | 7 |
| Senior Machine Learning Infrastructure Engineer Senior Machine Learning Infrastructure Engineer at Unity's Vector Ads team, focusing on building and operating real-time, high-scale, low-latency infrastructure for serving ML models in production for Unity's global advertising platform. The role involves designing, building, and maintaining serving pipelines, partnering with ML engineers, and improving infrastructure performance and cost-efficiency. | Serve | 7 |
| Staff Backend Engineer, ML Inference Systems Staff Backend Engineer focused on building and operating the infrastructure for ML models that govern ad ranking and bidding decisions across billions of daily impressions. The role involves designing and operating distributed systems for large-scale online model inference, emphasizing performance, reliability, and scalability of inference systems. | Serve | 7 |
| Staff Software Engineer, AI Authoring Staff Software Engineer focused on the reliability, scalability, performance, and maintainability of AI authoring products, including LLM inference and ML-driven tools. Responsibilities include DevOps, CI/CD, Kubernetes, infrastructure-as-code, agentic troubleshooting, A/B testing framework, and observability on Azure and GCP. | Serve | 5 |
| Développeur Back-End Sénior / Senior Back-End Developer Senior Backend Developer role focused on designing, developing, and maintaining scalable, high-performance backend infrastructure for large-scale model inference within Unity Ads. The role involves working with distributed systems, cloud infrastructure (GCP), Kubernetes, and monitoring tools to support advertising models. | Serve | 5 |