Geospatial AI Scientist

Descripción del empleo

Darwin Geospatial is looking for an AI Engineer / Applied AI Scientist

We are seeking a research-driven AI Engineer with deep mathematical training and strong applied modeling experience to join our team in Madrid.

At Darwin Geospatial, we work on next-generation AI systems for environmental and geospatial intelligence. Our work sits at the intersection of applied research, scientific computing, and production engineering, turning mathematical ideas and models into systems that operate at real-world scale.

This role is particularly well suited for candidates transitioning from academia (maths, engineering, physics, etc..) who want to continue publishing while working on real-world, production-grade AI systems.

This position is intended for senior profiles with PhD-level training and a strong research background.

Core Technical Stack

• AI & Modeling: PyTorch, custom neural architectures, optimization algorithms, loss design, uncertainty estimation

• Mathematics & Foundations: linear algebra, probability theory, statistics, numerical optimization, information theory

• Geospatial & Remote Sensing: GDAL, rasterio, geemap, Apache Sedona, spatial indexing and projections

• Infrastructure & Cloud: Docker, Google Cloud (Cloud Build, Vertex AI, Cloud Run, Cloud SQL)

• Backend & APIs: FastAPI, REST API design, authentication, modular system architectures

• Experimentation: MLflow, reproducible research pipelines, model versioning

• Testing & Reliability: pytest, CI pipelines, model validation strategies

• Programming & Analytics: Python, numpy, pandas, matplotlib

Key Requirements

• PhD (or equivalent research experience) in applied mathematics, physics, computer science, AI, or a closely related field

• Strong theoretical grounding in machine learning and statistical modeling

• Demonstrated research experience (peer-reviewed publications, preprints, or equivalent industrial research output)

• Proven ability to design new models or substantially adapt existing architectures to novel problem settings

• Experience translating mathematical formulations into efficient, maintainable production code

• Deep understanding of model assumptions, generalization, identifiability, and failure modes

• Experience leading model development from research prototype to deployed system

• Strong written and verbal technical communication skills

Nice to Have

• Prior work in geospatial AI, remote sensing, Earth observation, or spatiotemporal modeling

• Experience with multimodal, time-series, or graph-based models

• Contributions to open-source scientific or ML software

• Experience collaborating with academic institutions or research consortia

• Familiarity with additional compute environments (AWS, Azure, HPC clusters)

• Experience mentoring or supervising junior engineers or researchers

What We Offer

• Competitive compensation aligned with senior research and engineering roles, adapted to an early-stage startup environment

• High technical autonomy and ownership over model design, research direction, and system architecture

• The opportunity to work on AI systems addressing real environmental and geospatial challenges

• A strong research culture with the explicit goal of publishing applied research in peer-reviewed venues and top-tier conferences, when appropriate

• Close collaboration with senior engineers, applied scientists, and external research partners

• Long-term incentive alignment through the possibility of equity participation with a vesting schedule, based on performance and mutual commitment

• Flexible schedule and hybrid work model (Madrid), with a strong focus on outcomes rather than hours

This is a Hybrid position based in Madrid

Interested?

Apply now or send us a message through our LinkedIn page.

Información extra

Status

Inactiva

Estudios requeridos

E.S.O

Localización

Madrid

Tipo de contrato

Trabajo estudiantes

Carnet de conducir

No

Vehículo

No

Carta de motivación

No

Idiomas

Español