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About The Company General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General…
A security engineer who hardens the cloud infrastructure bridging General Intuition's AI research and Medal's gaming-clip creator platform: locking down GCP/Kubernetes, protecting data pipelines, owning identity and secrets, securing the software supply chain, and running the op-sec program. Core stack: GCP, Terraform, GitHub Actions, SIEM/OpenTelemetry observability.
Senior/Staff SRE owning reliability, on-call, and incident response for Medal's gaming-clip infrastructure (billions of clips, video pipelines) while scaling databases and infra on GCP. Core tech: Terraform, Kubernetes/GCP, Elasticsearch, MySQL/Postgres, GitHub Actions.
Senior/staff engineer on the Recorder team at Medal/General Intuition, doing hands-on work across the gameplay capture stack — capture, hooks, encoding, and game integrations powering features like auto-clipping — primarily in C#, .NET Framework, C++, and win32, while architecting the codebase so other teams can contribute safely. In-office in NYC 5 days a week.
Senior/Staff frontend engineer building features in React on Medal's Electron desktop app, iterating fast with A/B tests and metrics to scale the gaming-clips platform to 100M+ users within General Intuition, an AI lab building large action models. Onsite in NYC 5 days a week.
Senior/Staff backend engineer at Medal (General Intuition) in New York City, architecting and building highly scalable, low-latency Java microservices and REST APIs that power real-time in-app communications, storage of billions of gaming clips, and ML-based feed and social features for millions of users.
General Intuition & Medal — an AI frontier lab training large action models and world models on the world's largest corpus of action-labeled gaming data — is hiring Members of Technical Staff in New York City. MTS staff take on the most important problems across AI research, engineering, and infrastructure based on their strengths.
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