Geospatial AI Scientist — End-to-End ML & Production

InvestedintheMission; United States; On-site; USD 128,000 - 215,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking a highly experienced AI/ML scientist to design and deploy advanced geospatial intelligence solutions. You will build scalable pipelines, productionize multimodal models, and collaborate with research, engineering, and product teams.

Qualified candidates have 5+ years in ML systems, strong Python and cloud skills, and a track record delivering production-ready AI in complex environments. Earth observation and VLM expertise are a plus.

Qualifications

• MS or PhD in CS/ML or related field, or equivalent practical experience.
• 5+ years of experience building and deploying ML systems in production.
• End-to-end ML pipelines including data processing, training automation, evaluation, and scalable inference.
• Hands-on experience with deep learning models in vision-language or multimodal contexts.
• Production deployment on cloud infrastructure and reproducible experimentation pipelines.
• Ability to collaborate across research, engineering and product teams.
• Geospatial data, remote sensing, or Earth observation experience is a plus.

Responsibilities

• Design, develop, and deploy AI-driven applications that transform geospatial data into insights.
• Build end-to-end ML pipelines: ingestion, preprocessing, feature engineering, training, evaluation, deployment.
• Productionize reasoning models, vision-language models, and multimodal AI systems.
• Architect enterprise-grade training and experimentation frameworks.
• Create synthetic datasets and test harnesses for model validation.
• Collaborate with domain experts, software engineers, product managers, and research partners.
• Optimize models for scalability, latency, cost, and reliability on cloud infrastructure.
• Maintain production inference systems with monitoring, versioning, and retraining workflows.
• Stay current with foundation models and multimodal learning; translate research into practical systems.
• Uphold high engineering standards via code reviews and thorough documentation.

Skills

Python

ML pipelines

Deep learning

Vision-language models

Geospatial AI

Distributed training

Cloud infrastructure

Research collaboration

Education

MS/PhD in CS/ML or related field

Tools

PyTorch

TensorFlow

JAX

GCP

Job description

Vantor is seeking a highly experienced AI/ML scientist to design and deploy advanced geospatial intelligence solutions. You will build scalable pipelines, productionize multimodal models, and collaborate with research, engineering, and product teams.

Qualified candidates have 5+ years in ML systems, strong Python and cloud skills, and a track record delivering production-ready AI in complex environments. Earth observation and VLM expertise are a plus.