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Currently tracking 38 active AI roles, down 39% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $100k–$300k (avg $197k).

Hiring
38 / 52
Momentum (4w)
↓-43 -39%
68 opens last 4w · 111 prior 4w
Salary range · avg $197k
$100k–$300k
USD · disclosed roles only
Tracked since
Jan 20
last role 6w ago
Hiring velocityscroll left for older weeks
1 new role
Jun 17
1 new role
Sep 29
1 new role
Nov 10
1 new role
17
1 new role
24
2 new roles
Dec 1
2 new roles
15
4 new roles
22
3 new roles
29
6 new roles
Jan 5
1 new role
12
1 new role
19
1 new role
26
11 new roles
Feb 2
5 new roles
9
2 new roles
16
2 new roles
23
3 new roles
Mar 2
8 new roles
9
15 new roles
16
8 new roles
23
19 new roles
30
22 new roles
Apr 6
25 new roles
13
16 new roles
20
25 new roles
27
36 new roles
May 4
22 new roles
11
26 new roles
18
27 new roles
25
13 new roles
Jun 1
23 new roles
8
19 new roles
15
13 new roles
22

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.

Auto-generated from active job postings · last refreshed 2026-08-02

Frequently asked questions

  • What AI roles is Unity hiring for?

    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.

  • What stage of AI development does Unity focus on?

    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.

  • Where is Unity hiring AI talent?

    Unity is hiring AI talent in: United States (37 roles), China (5 roles), Canada (4 roles), Israel (3 roles).

  • What skills does Unity look for in AI roles?

    Job postings at Unity most frequently mention: Performance Optimization, A/B Testing, Model Monitoring, Data Pipelines, Apache Airflow.

  • How many AI roles has Unity posted recently?

    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).

Jobs (9)

38 AI · 182 total active
FilteredStageServe×FunctionEngineering×CountryUnited States×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 8Serve · 11Agent · 13Ship · 6
Function
AllEngineering · 35Research · 3
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TitleStageFunctionLocationFirst seenAI 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.
ServeEngineeringMountain View, CAMay 228
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.
Serve
Post-train
Engineering
Mountain View, CA
Apr 15
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.
ServeEngineeringMountain View, CAMay 227
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.
ServeEngineeringMountain View, CAMay 227
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).
ServeEngineeringMountain View, CAMay 207
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.
ServeEngineeringMountain View, CAMay 87
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.
ServeEngineeringMountain View, CAMay 87
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.
ServeEngineeringMountain View, CAMay 87
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.
ServeEngineeringMountain View, CAMay 87