Generative AI / Machine Learning Engineer

We are the frontier research lab dedicated to building foundation models for environments that require deep spatial and temporal reasoning. For the past year, we've been pushing the forefront of AI across agents capable of navigating space and time, world models that provide training environments for those agents, and video understanding models with a focus on transfer to the real world.

We raised a seed round of $133M from General Catalyst and Khosla to discover the next generation of intelligence.

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

Benefits

• Competitive salary and meaningful equity

• Comprehensive health insurance including dental and vision insurance

• 401k

Please include the following:

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

• Resume

• LinkedIn (Twitter if relevant)

• Github