Geospatial AI Scientist | Build Production Multimodal ML

maxar; United States; On-site; USD 128,000 - 187,000; Full time

Job summary

Vantor seeks a senior ML/AI engineer to design and deploy AI-driven geospatial applications. You will build end-to-end ML pipelines, productionize models including VLMs and multimodal systems, and collaborate with cross-functional teams to translate Earth observation challenges into scalable solutions.

You will work with domain experts to optimize performance, latency, and cost on cloud infrastructure, implement monitoring and retraining workflows, and stay current with foundation models and

Qualifications

• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field, or equivalent practical experience.
• 5+ years of experience building and deploying machine learning systems in production environments.
• Experience designing end-to-end ML pipelines including data processing, training automation, evaluation frameworks, and scalable inference.
• Hands-on experience developing and deploying deep learning models in VLMs, multimodal learning, reasoning models, LLMs, or computer vision/geospatial AI.
• Strong programming skills in Python with PyTorch, TensorFlow, or JAX.
• Experience deploying models into production using cloud infrastructure and containerization.
• Familiarity with distributed training and large-scale data processing.

Responsibilities

• Design, develop, and deploy AI-driven applications that transform geospatial data into actionable insights.
• Build end-to-end ML pipelines including data ingestion, preprocessing, training, evaluation, and production inference.
• Productionize reasoning models, VLMs, and multimodal AI systems combining imagery and structured data.
• Architect enterprise-grade training and experimentation frameworks with automated pipelines and reproducible evaluation.
• Create synthetic datasets and test harnesses to validate model performance in real-world environments.
• Collaborate with domain experts and engineers to translate Earth intelligence challenges into deployable AI solutions.
• Optimize models for scalability, latency, cost, and reliability on cloud infrastructure.
• Maintain production inference systems with monitoring, versioning, retraining workflows, and performance tracking.
• Stay current with advances in foundation models and generative AI, translating research into practical systems.
• Uphold high coding standards through reviews and disciplined experimentation.

Skills

ML pipelines

Python

Cloud deployments

Distributed training

Collaboration

Vision-language models

Multimodal learning

LLMs

Education

MS or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Job description

Vantor seeks a senior ML/AI engineer to design and deploy AI-driven geospatial applications. You will build end-to-end ML pipelines, productionize models including VLMs and multimodal systems, and collaborate with cross-functional teams to translate Earth observation challenges into scalable solutions.

You will work with domain experts to optimize performance, latency, and cost on cloud infrastructure, implement monitoring and retraining workflows, and stay current with foundation models and