Base: $146,000 - $269,400 annually depending on lo...
Fully remote
End-to-end ml pipeline development
Production deployment of ai models
Python programming with pytorch or tensorflow
The role involves designing and deploying AI-driven applications that transform large-scale geospatial data into actionable insights
Job Summary
The role involves designing and deploying AI-driven applications that transform large-scale geospatial data into actionable insights.
Candidates will build end-to-end ML pipelines including data ingestion, preprocessing, training, and production inference on modern cloud infrastructure.
Vantor offers a competitive total rewards package including a robust 401(k) match, mental health resources, and unique perks like student loan repayment assistance.
Matching Summary
The role involves designing and deploying AI-driven applications that transform large-scale geospatial data into actionable insights.
Salary
Base: $146,000 - $269,400 annually depending on location; Bonus/Equity: Not specified; Benefits: 401(k) match, mental health resources, student loan repayment, adoption reimbursement, pet insurance
Skills & Requirements
Must-have
End-to-end ML pipeline development
Production deployment of AI models
Python programming with PyTorch or TensorFlow
Experience with Vision-language models
Multimodal learning and reasoning systems
Cloud infrastructure model optimization
Nice-to-have
Geospatial data and satellite imagery experience
Foundation model fine-tuning expertise
Open-source AI project contributions
Collaboration with research organizations
Agentic AI system building
Key Requirements
MS or PhD in Computer Science or related field
5+ years of production machine learning experience
Must be a U.S. Person (Citizen, PR, Asylee, or Refugee)
Work Rights
Must have US citizenship, permanent resident status, Asylee, or Refugee status