- Experience applying ML to senor data that includes EO/IR, hyperspectral, SAR, or other remote sensing sensor data — familiarity with the phenomenology matters here, not just the algorithms.
- Background in computer vision, image classification, anomaly detection, or event characterization in scientific or sensor data contexts.
- Experience training models on simulated or synthetic data — understanding the gap between simulated training environments and real-world operational data, and how to manage it.
- Familiarity with ML/Ops practices: experiment tracking, model versioning, reproducible pipelines, and deployment in constrained or classified environments.
- Experience working with large-scale geospatial or scientific datasets; comfort with data that is noisy, sparse, or domain-specific.
- Proficiency with scientific Python libraries: NumPy, SciPy, pandas, OpenCV, scikit-learn, or equivalent.
- Experience with cloud-based ML training environments (AWS, Azure, or equivalent) and GPU-accelerated compute.
- Prior experience supporting defense, intelligence, or classified customer environments.
- D. in a relevant quantitative field — Astronomy, Physics, Computer Science, Electrical Engineering, or related discipline — particularly where the doctoral work involved applied ML on real scientific data.
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
- The pay range for this position is: $200,000- $240,000
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.