Machine Learning Research Engineer

About the Company

OXMAN is a nature-based research and design company based in Manhattan. We incubate ventures and technologies that reimagine the relationship between humanity and the natural world. Through EDEN, we build digital design environments for engineering and designing ecosystems, modeling the flows, relationships, and processes that sustain them.

Responsibilities

• Develop machine learning models for geospatial inference of key ecosystem metrics using geospatial AI
• Develop and refine advanced deep generative models and reinforcement learning algorithms for built-environment design
• Contribute to decision-making frameworks combining procedural generation with ML and data-driven optimization
• Collaborate with computational ecologists and data scientists to integrate generative design with ecosystem simulation models
• Align design outputs with ecological performance indicators such as species richness and carbon sequestration
• Prepare technical documentation and contribute to model validation using empirical ecological data

Requirements

• Ph.D. in Computer Science, Machine Learning, Operations Research, or a related field
• Proven experience developing and deploying geospatial machine learning models, deep generative models, or RL algorithms
• Demonstrated experience working in cross-functional teams bridging ML research with ecology, architecture, or design

Preferred Qualifications

• Experience with GIS tools and remote sensing technologies for geospatial analysis
• Prolific corpus of digital or physical expressions rooted in process-driven research and design
• Industry experience combined with a background in leading research