Job Description
This role involves developing and evaluating AI-based land surface change detection systems using satellite imagery, focusing on creating scalable models to identify structural changes and natural variations for applications in defense, civil government, and commercial sectors.
Key Responsibilities
- Develop and evaluate scalable AI models for land surface change detection using satellite imagery
- Curate and process multi-source remote sensing datasets for training and testing
- Design and test embedding-based workflows for semantic change classification
- Benchmark the performance of change detection prototypes against existing baseline methods
- Conduct literature reviews on state-of-the-art semantic change detection techniques
Requirements
- Bachelor’s or Master’s degree in Applied Mathematics, Computer Science, Remote Sensing or a related field
- Proficiency with Python and machine learning frameworks like TensorFlow or PyTorch
- Knowledge of remote sensing fundamentals and experience working with different types of remote sensing data
- Ability to be hands-on, be self-motivated, and think creatively
- Excellent technical communication, documentation and presentation skills
- Flexibility, proactivity, and curiosity in undertaking new tasks
Benefits & Perks
Paid time off including vacation, holidays and company-wide days off
Employee Wellness Program
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Volunteering Paid Time Off
Ready to Apply?
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