Senior AI Scientist, Geospatial & Multimodal

Vantor Inc.; United States; On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment

Adoption reimbursement

Pet insurance

Job summary

Vantor Inc. is hiring a senior machine learning engineer to design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.

You will build end-to-end ML pipelines, productionize reasoning models and multimodal systems, and collaborate with product, data, and research teams to deliver scalable Earth AI solutions on modern cloud infrastructure.

Qualifications

• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field.
• 5+ years of experience building and deploying machine learning systems in production environments.
• Demonstrated experience designing and delivering end-to-end ML pipelines, including data processing, training automation, evaluation frameworks, and scalable inference.
• Hands-on experience developing and deploying deep learning models, particularly in Vision-language models, Multimodal learning, Reasoning models, Large language models, Computer vision or geospatial AI.

Responsibilities

• Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
• Build and operate end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
• Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that combine imagery, geospatial signals, and structured data.
• Architect enterprise-grade training and experimentation frameworks, including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation.
• Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior in real-world operational environments.
• Work closely with domain experts, software engineers, product managers, and research partners to translate Earth intelligence challenges into deployable AI solutions.
• Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on modern cloud infrastructure.
• Implement and maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance tracking.
• Stay current with the latest advances in foundation models, generative AI, multimodal learning, and reasoning systems, and translate research breakthroughs into practical systems.
• Maintain high engineering standards through code reviews, documentation, experimentation discipline, and collaborative problem solving.
• Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners.

Skills

Python

ML pipelines

Deep learning

Geospatial AI

VLMs

LLMs

Cloud deployment

Experiment tracking

Education

MS or PhD in CS/ML/AI

Tools

PyTorch

TensorFlow

JAX

Job description

Vantor Inc. is hiring a senior machine learning engineer to design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.

You will build end-to-end ML pipelines, productionize reasoning models and multimodal systems, and collaborate with product, data, and research teams to deliver scalable Earth AI solutions on modern cloud infrastructure.