Principal Applied AI Scientist
Core
Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
Role type
Principal Applied AI Scientist (Geospatial/Earth Intelligence)
Builds
End-to-end AI/ML pipelines, reasoning models, vision-language models (VLMs), and multimodal AI systems for Earth intelligence.
Domain
Geospatial intelligence, Earth observation, and applied AI/ML
Deliverable
production ML models
Required skills
Deep learning, Vision-language models (VLMs), Multimodal learning, Reasoning models, Large language models (LLMs), Computer vision, Geospatial AI, Python, PyTorch, TensorFlow, JAX, Distributed training, Model optimization, Cloud infrastructure deployment
Preferred skills
Geospatial data processing, Remote sensing, Satellite imagery, Foundation models, Agentic AI systems, Google Cloud Platform (GCP), Model monitoring and automated retraining
Technologies
PyTorch, TensorFlow, JAX, GCP
Responsibilities
Design and deploy AI-driven applications for geospatial data; Build and operate end-to-end AI/ML pipelines; Productionize reasoning models, VLMs, and multimodal AI systems; Architect enterprise-grade training and experimentation frameworks; Create synthetic datasets and test harnesses; Optimize models and inference systems for scalability and cost efficiency; Implement and maintain production inference systems; Translate research breakthroughs into practical systems.
Seniority
Principal, hands-on IC with strategic impact