USAMember of Technical Staff (Infrastructure)
4 мес. назад
165k–250k USD / yearUSALeadOnsite
infrastructurecloudawsdockerkubernetesterraform
Technical role focused on infrastructure for AI-driven interactive platform at .
Обязанности
- The hardest part of what we're building isn't the games — it's the platform underneath them. We're serving millions of players, running agentic AI pipelines in real time, and building the recommendation systems that shape what people discover and play. As an Infrastructure MTS, you'll own the systems that make all of that work: reliable, cost-efficient, and fast at real scale.
- We benchmark everything. Quality of AI-generated games is our north-star metric, and infrastructure is what makes that metric possible to move.
- Design and build the infrastructure powering game creation, serving, and discovery at scale
- Own cost optimization and compute efficiency — unit economics are a real constraint and we take them seriously
- Build and maintain the agentic pipelines that take a creator's idea and produce a playable game
- Develop and scale recommendation and personalization infrastructure — what gets shown, to whom, and when
- Instrument systems deeply: structured logging, performance profiling, capacity planning
- Help other engineers build on a platform that's reliable and fast to ship on
Будет плюсом
- Experience at companies with large-scale recommendation or personalization infrastructure (YouTube, Meta, TikTok, Airbnb, Snap, Snowflake)
- Background in agentic or LLM-integrated systems
- Experience with 0→1 infrastructure builds or legacy-to-modern migrations
- Observability and reliability engineering (you've been on-call and made systems better because of it)
Условия
- Competitive base salary plus equity
- Health, dental, and vision coverage
- Lunch provided daily
- Join us to help build the future of interactive entertainment.
Другое
- is an AI technology company building super-intelligence for the interactive world, delivered through a breakout consumer platform.
- Today's frontier models can write, reason, and generate video. None can build a world you can step into and act on. Interactive world models, systems that generate playable experiences, are one of the defining problems on the path to ASI, and the foundation of the next great consumer platform. Interactivity is the holy grail of content: not something you watch, but something that responds to you. Cracking it will redefine how the world plays, learns, and connects. We're further ahead than anyone: the only team building the intelligence and the platform together, and both are already live.
- Our social UGC platform lets anyone create and play interactive experiences through natural language. And it's one of the fastest-growing consumer products in the world, with over 30 million users in just months since launch. Creators bring to life games, companions that remember and grow with them, learning experiences that adapt like a great tutor, and social worlds built with friends. The platform also powers our research with data no video dataset contains: millions of creators prompting and refining gives us paired data of human intent and the worlds that fulfill it, and every play session produces ground-truth, action-labeled interaction data at scale. All of it flows back into our models, and research ships to real players in days, spinning a flywheel no one else can build.
- We are a small team from Google Research, Meta, FAIR,, and Stanford, led alongside Chief Scientist Fei-Fei Li, with frontier-scale compute and direct ownership of core model problems. We are backed by Sequoia Capital alongside Google, NVIDIA, LG, SEA Gaming, Dentsu Ventures, and Conviction, and by luminaries including Eric Schmidt and Jerry Yang.
- The next foundational AI company will be built where world models meet a billion players. We're the rare place where frontier research and a breakout consumer platform are one company, and where your work ships to millions, not to a paper. Come build it with us.
- Have 4–8+ years of infrastructure, platform, or systems engineering experience
- Have designed and operated high-traffic serving systems — recommendations, content delivery, streaming, or similar
- Think in systems: you ask "what breaks at 100x this load" before you ship, and you design for it
- Have strong instincts around cost/performance tradeoffs and have made real calls in production environments
- Are comfortable in Python-heavy backends and fluent across the infra stack