Job Description
The role involves developing and deploying advanced AI and machine learning solutions for processing multi-modal geospatial data, including satellite imagery, to generate high-fidelity, actionable intelligence on global activities, with responsibilities spanning full-stack development and technical ownership.
Key Responsibilities
- Develop and deploy advanced machine-learning methods to process multi-modal imagery and sensor data into actionable intelligence.
- Own and maintain a core product pipeline, ensuring its full-stack deployment, stability, and continuous improvement.
- Solve complex technical challenges with minimal guidance, utilizing full-stack capabilities including front-end GUI, database management, and containerization.
- Collaborate with team members by owning critical tasks to support broader initiatives and focus areas.
Requirements
- Six (6) years of relevant industry experience.
- Bachelor’s degree in a related field.
- Ability to obtain and maintain TS-SCI or DoD TS security clearance.
- Expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms and mathematical foundations.
- Proficiency with Big Data and AI/ML at scale.
- Experience with multi-modal data processing including Electro-Optical (EO), Multi-Spectral Imaging (MSI), Synthetic Aperture Radar (SAR), Computer Vision, and Perspective Geometry.
- Full-stack capabilities, including front-end GUI development, database management, and containerization using Docker.
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 based on location and experience (e.g., $142,800 - $203,200 USD in US locations)
Ready to Apply?
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