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Our work We are a well capitalized stealth VC-backed startup building a new type of spatial AI capable of universally solving autonomy. We innovate at the foundational layer of AI by training our own AI models. Our team is composed of AI pioneers and leaders from Google X, Google Brain, and Unity. We enjoy long, deep ideations around entirely unexplored AI use cases in autonomy (cars, drones, robots).  Creative: track record of solving hard problems with solutions worthy of academic papers Educator: you take pride in your ability to communicate complex topics clearly and have excellent speaking and writing skills. Founder mentality: you roll up your sleeves to help solve the most pressing problem on a given day, even if it has nothing to do with this job post. Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD) Deep learning research: publications at top ML venues, or practical experience training multimodal foundation models Product: experience with defining, building, and launching new products Programming: deep knowledge of Python ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow) Data: experience with distributed data pipelines (Beam/Spark/WebDataset) Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang) Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch Security: familiarity with enforcing security standards as well as other data regulation compliances (i.e. Domain-specific: spatial data and analytics, geographic information systems, spatial databases (PostGIS) Expect to stretch your imagination daily as we are building a new AI capable of making robots ubiquitous. We are a small team that supports each other.