Geospatial ML Researcher: Multimodal & Foundation Models

X4 Engineering; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Unknown is seeking a Machine Learning Researcher to help build next-generation AI systems that learn from geospatial and spatiotemporal data. You will work with satellite imagery, remote sensing and environmental datasets to advance models that understand physical environments.

Collaborate with researchers and engineers to explore new architectures, train large-scale systems and translate cutting-edge research into scalable AI for geospatial applications.

Qualifications

• Bachelor's degree in CS/AI/Geospatial or related quantitative discipline.
• Strong understanding of modern ML algorithms and DL techniques.
• Experience developing ML models with PyTorch, TensorFlow or JAX.
• Experience with geospatial datasets (satellite imagery, GIS, Earth observation).
• Experience designing experiments and interpreting results.
• Experience translating research into scalable production systems.
• Excellent problem-solving and collaborative work abilities.

Responsibilities

• Develop novel machine learning algorithms for spatial and geospatial prediction, classification and representation learning.
• Design, train and evaluate deep learning models using multimodal spatial datasets, including satellite imagery and environmental data.
• Explore state-of-the-art approaches in self-supervised learning, foundation models and multimodal learning for spatial understanding.
• Conduct rigorous experimentation, benchmark model performance and analyse results to improve robustness and generalization.
• Work with large-scale geospatial datasets to build models across diverse regions and conditions.
• Collaborate with software engineers to integrate research into scalable production systems.
• Stay current with emerging research and contribute ideas to advance ML capabilities.

Skills

ML algorithms

Deep learning

PyTorch TensorFlow JAX

Geospatial datasets

Experiment design & evaluation

Production ML systems

Collaborative problem solving

Education

Bachelor's degree in CS/AI/Geospatial

Tools

PyTorch

TensorFlow

JAX

Job description

Unknown is seeking a Machine Learning Researcher to help build next-generation AI systems that learn from geospatial and spatiotemporal data. You will work with satellite imagery, remote sensing and environmental datasets to advance models that understand physical environments.

Collaborate with researchers and engineers to explore new architectures, train large-scale systems and translate cutting-edge research into scalable AI for geospatial applications.