Staff Software Engineer - Map AI Platform

Job Description

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Hivemapper is a decentralized global map data network built by 10s of thousands of people. High-res sensors feed sensor fusion and ML models at the edge, and data is automatically uploaded in near realtime. Enterprise tech, mapping, auto, robotaxis, rideshares, and real estate represent just a few of the customers consuming data today.

APIs allow anyone to consume high-res street-level imagery and precisely extracted Map Features (speed signs, turn restrictions, etc.). New data products for HD mapping, AI fleet management, construction understanding, and more are continuing to grow or launch throughout the year.

Map AI Platform

Every day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world. Different Sensor Fusion, ML, AI, 3D Reconstruction processes are performed at the edge and in our processing clusters, and the Map AI Platform orchestrates the efforts of a combination of AI and 10s of thousands of human taskers.

The Map AI Platform is the core data engine that powers our data customers and consumer products and user-facing AI technology. These complex systems control and learn patterns about this rich data all over the world and enable us to to continuously evolve semantic extraction, QA at scale, and training data generation. For example, we’ve recently been using the system to generate semantic labels for CV embeddings that enables very fast VLLM model fine-tuning loops.

We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven.