Senior Geospatial AI/ML Engineer
Tasks
- Apply geospatial embeddings for intelligence generation
- Design unsupervised and semi supervised algorithms
- Develop multi modal machine learning models
- Improve model stability and continuous performance
- Integrate AI tools into ML development workflow
- Perform data curation and model analysis
- Process EO MSI and SAR sensor data
- Train deploy and monitor vision transformer models
Perks/Benefits
- Commuter benefits
- Employee assistance program
- Equity
- Health savings account
- Home office reimbursement
- LinkedIn Learning access
- Medical, dental, vision plans
- Paid parental leave
- Paid time off
- Remote work
- Tuition reimbursement
- Volunteering paid time off
- Wellness program
Skills/Tech-stack
Computer Vision | Deep learning | Docker | Geospatial analysis | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | PyTorch | Python | Remote Sensing | SQL | Semi-Supervised Learning | Semi-supervised | Series analysis | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unsupervised Learning | Vision Transformers
Education
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