Jobs at Unity

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

The role involves front desk leadership, office support, vendor relations, event planning, and maintaining workplace safety, contributing to a positive work environment.

The Staff Software Engineer will enhance AI authoring products by ensuring reliability, scalability, and performance while driving operational best practices such as CI/CD and infrastructure automation.

The Senior Strategic Partnerships Manager will develop and scale new business opportunities, negotiate partnerships, and align strategy with execution to drive Unity's growth.

Design and build high throughput, low latency data processing pipelines for reporting, focusing on distributed systems and cloud-native architecture.

Serve as the strategic liaison between regional revenue leaders and central functions, driving cross-functional go-to-market initiatives, building feedback and reporting processes, managing multi-stakeholder programs, and removing blockers to ensure timely execution and adoption of new workflows and systems.

Lead design and productionization of computer-vision and multi-modal AI models (transformers, diffusion, VLMs, JEPA). Translate research to scalable training and low-latency deployments across cloud and on-device targets, define KPIs, mentor engineers, and align ML architecture with product and runtime constraints.

Design and implement runtime protocols, formats, and systems to capture, serialize, stream, and replay interactive 3D content across engines. Own engine subsystems from low-level C++ runtime to high-level C# APIs. Optimize for low latency, bandwidth, determinism, and memory; integrate AI systems to inspect and control engine state.

Design, develop, and maintain distributed backend systems for ML inference, ensuring performance and reliability at scale. Collaborate with ML engineers and manage cloud infrastructure.

The role involves designing and optimizing bidding algorithms, enhancing real-time bidding systems, analyzing marketplace dynamics, and driving projects to deliver impact.

The role involves designing and optimizing bidding algorithms for real-time bidding systems, leading projects, and enhancing ad performance through advanced AI techniques.

Own design, build, and evolution of scalable data platform services and self-service tooling. Work across distributed systems, data pipelines, cloud infra, observability, and automation. Provide hands-on technical leadership for cross-functional initiatives, partner with product and data teams, and drive platform patterns, standards, and best practices to support high-throughput, reliable data flows at scale.

Embed with business departments to design, build, and ship production AI agents and automated workflows. Implement integrations, services, data pipelines, and agent logic; evaluate and instrument deployments; collaborate with non-engineering partners to prioritize automation and scale successful patterns across the company.

The Director of Executive Compensation at Unity leads compensation design and governance for top leadership, ensuring competitive and compliant pay programs while collaborating with various executive teams.

Lead the evolution of Unity's Ads Experimentation platform as a senior machine learning engineer, focusing on optimizations and statistical methodologies for ad performance.

Design and deploy next-generation recommendation and ranking models using LLMs, RLHF, and preference learning. Build user-understanding systems, apply RL and optimization to bidding and ad delivery, run causal A/B experiments, and collaborate with engineering to productionize research across the ML pipeline.

As a Senior Machine Learning Engineer at Unity, you will modernize infrastructure, build intelligent systems using LLMs, and mentor teammates.

Design and operate large-scale ML data pipelines, develop infrastructure for distributed training workflows, and ensure reliability and performance of the offline ML platform.

The role involves designing large-scale offline platforms for ML training, developing data pipelines, ensuring scalability and performance, and integrating orchestration systems.

Architect and lead the development of a greenfield consumer mobile rewards app (iOS/Android). Design app architecture, build gamified UI/UX and real-time wallet/ledger systems, integrate with backend event pipelines and ML attribution, ensure offline-first syncing and anti-fraud tracking, and provide technical leadership, mentoring, and CI/CD/release process ownership.