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
Senior Applied AI Scientist (Geospatial/Earth Intelligence)
Builds
Production AI/ML pipelines, reasoning models, vision-language models (VLMs), and multimodal AI systems for Earth intelligence.
Domain
Geospatial intelligence, Earth observation, remote sensing, and large-scale AI/ML.
Deliverable
production ML models
Required skills
End-to-end ML pipeline design, deep learning model development, Python programming, PyTorch/TensorFlow/JAX, cloud infrastructure deployment, distributed training, model optimization, reproducible experimentation, synthetic data generation.
Preferred skills
Geospatial data and remote sensing expertise, foundation model fine-tuning, agentic AI systems, Google Cloud Platform (GCP) infrastructure, model monitoring and automated retraining.
Technologies
Python, PyTorch, TensorFlow, JAX, Google Cloud Platform (GCP), containerized systems.
Responsibilities
Design and deploy AI applications for geospatial data; build and operate end-to-end AI/ML pipelines; productionize reasoning and vision-language models; architect enterprise-grade training frameworks; create synthetic datasets and test harnesses; optimize models for scalability and latency; maintain production inference systems.
Seniority
Senior, hands-on IC