Senior Geospatial AI/ML Engineer
Tasks
- Apply unsupervised and semi supervised techniques
- Build vision transformer models
- Deploy machine learning models in production
- Develop geospatial machine learning models
- Ensure model stability and continuous improvement
- Perform data curation and model analysis
- Process EO MSI SAR sensor data
- Support end-to-end model lifecycle
- Train multi modal architectures
Perks/Benefits
- Commuter benefits
- Employee assistance program
- Equity
- Health savings account
- Home office reimbursement
- Paid parental leave
- Paid time off
- Phone and internet reimbursement
- Tuition reimbursement
- Volunteering paid time off
- Wellness program
Skills/Tech-stack
Artificial Intelligence | Big Data | Computer Vision | Database Management | Docker | EO MSI SAR | Geospatial Embeddings | Language Models | Large Language Models | Machine Learning | Multimodal Learning | Perspective Geometry | Remote Sensing | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Unsupervised Learning | Vision Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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