Generative AI / Machine Learning Engineer - NYC

The most powerful foundation models are trained on written words. But human intelligence far exceeds language. Truly intelligent machines must move from words to worlds, and acquire the capacity to perceive, anticipate, and improvise. They need to obtain a general intuition of reality.

We embrace games as the ultimate expression of ingenuity and problem solving. General Intuition builds on the strength of Medal, the world’s largest and fastest-growing platform for gaming moments. Every year, our players capture billions of gameplay clips, each representing a unique, action-packed highlight. Across countless environments, this diversity leads to uniquely capable agentic systems.

For the past year, we’ve been pushing the frontier across:

• Agents capable of deep spatial and temporal reasoning

• World models that provide training environments for those agents, and

• Video understanding with a focus on transfer beyond games

What we're looking for:

• Depth of XP: 4+ years of video machine-learning, with a focus on image embedding and computer vision. Bonus for applicants who have XP in generative AI, familiarity with high throughput video inference/feature extraction

• In-person: Looking to hire in NYC to contribute alongside the product team. 3+ days in the office

• Ownership & attention to detail: You see things through, and can be responsible for end-to-end quality of complex features.

• Code Performance: Excellent understanding of code performance and performance implications in production

• Be result-driven: Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularly

• Measuring with metrics: Comfort with A/B testing and measuring results with usage metrics

• Gaming: A passion for games and the gaming communities, and a user of Discord and other gaming-adjacent products. XP working on gaming-related projects is a plus

Our stack:

• ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, Airflow

• Desktop Front-end: Electron, React, Redux, & other modern web-based technologies

• Recorder: C# and C++

• Mobile: Swift for iOS, Kotlin for Android

• Backend: Java, Redis, RabbitMQ, Kubernetes, Docker

• Infra: Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD

Please include the following:

• Links to apps you’ve released/portfolio, and a description of your contributions

• Resume

• LinkedIn (Twitter if relevant)

• Github