Job Description
The role involves developing advanced geospatial machine learning models to analyze large-scale imagery and sensor data, transforming it into actionable intelligence for global applications. The position requires expertise in AI, remote sensing, and multi-modal architectures, with a focus on deploying innovative solutions in a remote work environment.
Key Responsibilities
- Develop and deploy advanced machine learning models using geospatial data from EO, MSI, and SAR sensors.
- Manage the entire lifecycle of models, including data curation, analysis, deployment, and continuous improvement.
- Solve complex technical challenges related to geospatial intelligence and align solutions with company goals.
Requirements
- 10 years of relevant industry experience in machine learning, data science, or geospatial algorithm development.
- Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field.
- Ability to obtain and maintain TS-SCI or TS security clearance.
- Deep expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised and semi-supervised techniques, and strong mathematical foundations.
- Ability to develop, deploy, and maintain sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity.
- Experience in applying advanced expertise in multi-modal architectures, Large Language Models (LLMs), and vision transformers to process datasets from Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) sensors.
- Experience handling and solving complex, ambiguous technical challenges, and aligning solutions with the company's larger goals.
- Deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.
- Ability to operate with a high degree of autonomy and require minimal day-to-day oversight.
- Ability to collaborate effectively across multidisciplinary teams.
Benefits & Perks
Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off in addition to holidays and company-wide days off
16 Weeks of Paid Parental Leave
Wellness Program and Employee Assistance Program (EAP)
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Commuter Benefits (if local to an office)
Discretionary short-term and long-term incentives bonus and equity
Salary range depending on location (e.g., New York City, California, US National)
Ready to Apply?
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