Unity
Enterprise · Game engine
- HQ
- San Francisco, US
- Founded
- 2004
- Size
- 2,000+
- Website
- unity.com
Enterprise · Game engine
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 |
|---|---|---|
| Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI Staff ML Engineer focused on Computer Vision and Multi-Modal AI for game experiences. The role involves translating research into production systems, defining modeling and deployment strategies, and leading technical decisions across the ML stack. Responsibilities include designing and implementing models for image/video understanding and generation, optimizing for various deployment targets, and mentoring engineers. The goal is to enhance AI features for billions of players. | ServePost-train | 9 |
| Senior Machine Learning Engineer, On-Device & Mobile AI Optimization Senior Machine Learning Engineer focused on optimizing and deploying state-of-the-art multi-modal AI models (transformers, diffusion, VLMs) for on-device execution on mobile and constrained hardware. This involves model export, quantization, graph transformation, operator fusion, kernel-level tuning (WebGPU, Metal, Vulkan, CUDA), and integration with game engines, aiming for low latency, small memory footprint, and reliable performance within strict budgets. |
| ServePost-train |
| 8 |
| 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 |
| 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 |