Unity
Enterprise · Game engine
- HQ
- San Francisco, US
- Founded
- 2004
- Size
- 2,000+
- Website
- unity.com
Enterprise · Game engine
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. | ServePost-train | 8 |
| Staff Machine Learning Engineer, ML Infrastructure - Online Staff ML Engineer focused on building and operating the online ML inference platform at Unity. This role involves designing, optimizing, and scaling infrastructure for serving production ML models with low latency and high reliability, supporting experimentation, and improving observability. The focus is on the infrastructure that enables ML models to be deployed and run efficiently in a production environment. | Serve | 7 |
| Senior Machine Learning Engineer, ML Infrastructure - Online Senior/Staff ML Engineer to design and evolve Unity Vector’s online model inference platform. Focuses on building reliable infrastructure for serving ML models in production, optimizing inference performance, and enabling safe, efficient experimentation across high-traffic online systems. Requires strong systems thinking, deep experience with production ML infrastructure, and ability to drive architectural improvements. | Serve | 7 |
| 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 |