Geospatial ML Research Engineer for Regenerative Design

OXMAN; New York (NY); On-site; USD 142,000 - 235,000; Full time

Job summary

A nature-based design company in New York City is looking for a Machine Learning Research Engineer to join an interdisciplinary team. The role focuses on developing geospatial machine learning models to enhance ecosystem design. Candidates should have a Ph.D. and proven experience in ML research. This position offers a competitive salary range of $142K to $235K, depending on experience and qualifications.

Qualifications

• Proven experience developing and deploying geospatial machine learning models.
• Experience in cross-functional teams bridging ML research with ecology or design.
• Strong commitment to nature-centric principles.

Responsibilities

• Develop machine learning models for geospatial inference of ecosystem metrics.
• Refine generative models and reinforcement learning algorithms for design.
• Collaborate with ecologists and data scientists.

Skills

Geospatial machine learning models

Deep generative models

Reinforcement learning algorithms

Cross-functional teamwork

GIS tools

Education

Ph.D. in Computer Science or related fields

Job description

A nature-based design company in New York City is looking for a Machine Learning Research Engineer to join an interdisciplinary team. The role focuses on developing geospatial machine learning models to enhance ecosystem design. Candidates should have a Ph.D. and proven experience in ML research. This position offers a competitive salary range of $142K to $235K, depending on experience and qualifications.