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About the role
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect across 3D immersive digital experiences created by our global community.
Within the Creator Organization, the Content Understanding Team builds the core platform that processes billions of assets—spanning 3D models, audio files, text, video, and entire experiences—extracting structured semantic metadata to power real-time search, discovery, automated moderation, and Generative AI creation tools.
As a Senior Full Stack Software Engineer, you will build end-to-end solutions combining cloud backend microservices, modern frontend frameworks (React/Angular), and production machine learning pipelines. You will bridge cutting-edge computer vision, 3D object understanding, and multimodal AI models with scalable infrastructure that powers creator workflows and real-time asset discovery across Roblox.
Key Responsibilities
- Full-Stack Content Understanding Solutions: Solve complex full-stack challenges to improve how creators, users, and AI models interact with and annotate 3D assets, images, audio, text, and video.
- ML Model Pipeline Engineering: Design, build, and deploy production machine learning pipelines that evaluate and serve deep learning models for automated content annotation and indexing.
- Backend Infrastructure & Search: Build high-throughput backend services in cloud environments to power real-time search, semantic discovery, and Generative AI features across creator tooling.
- Applied AI Research Integration: Translate emerging AI research in computer vision and multimodal understanding into production-ready software solutions.
- Cross-Functional Collaboration: Partner closely with software engineers, product managers, data scientists, and research teams to ship bold technical projects across the Creator ecosystem.
Requirements
Full-Stack & Machine Learning Engineering Depth
- 6+ years of professional software engineering experience with strong proficiency in at least two core backend languages (Python, C#, C++, or Java).
- Frontend Framework Proficiency: Practical experience building user interfaces using modern JavaScript/TypeScript frameworks (React or Angular).
- Cloud Backend Systems: Proven track record designing, scaling, and operating backend systems within public cloud environments (AWS/GCP).
- ML Deployment & Pipeline Engineering: Demonstrated expertise deploying and serving machine learning models in production environments.
- Computer Vision & 3D Understanding: Technical foundation in computer vision, AI, or image and 3D object understanding, ideally within the gaming or digital content creation space.
- Execution Mindset: Strong problem-solving drive to step outside traditional comfort zones and deliver complete end-to-end solutions.
Preferred Qualifications
- Experience with large-scale search infrastructure (Elasticsearch, OpenSearch, Vector DBs), Generative AI, or semantic content understanding frameworks.
- Hands-on experience with modern deep learning frameworks (PyTorch, TensorFlow) and end-to-end MLOps workflows.
- Technical understanding of 3D geometry, mesh processing, or 3D asset pipelines.
Total Rewards & Benefits
- Compensation & Equity: Annual base salary range of $196,750 – $278,530 USD + comprehensive equity compensation package.
- Healthcare & Wellness: Comprehensive medical, dental, and vision insurance coverage options for employees and eligible dependents.
- Retirement & Financial: 401(k) retirement plan with employer match, life insurance, and flexible spending accounts.
- HQ On-Site Perks: On-site catered meals, modern collaborative workspaces, learning and development stipends, and team events.

Source: Employer Career Pages · THE BRIEFED never charges candidates.
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