Senior Machine Learning Engineer
Core
Develop novel machine learning algorithms and models for Defense and Intelligence applications, optimizing neural networks for high-throughput execution at continental and global scales.
Role type
Senior Machine Learning Engineer (Defense/Intelligence)
Builds
Computer vision, time series, and embeddings-based methods for satellite data; scalable ML inference systems.
Domain
Defense and Intelligence / Geospatial / Satellite Data
Deliverable
production ML models
Required skills
Neural network implementation and optimization, Time series analysis, Computer vision, Embeddings, Large-scale dataset handling, Modular Python development, CI/CD practices, Container orchestration (Docker/Kubernetes), Cloud platform management (AWS/GCP)
Preferred skills
Remote sensing, Satellite imagery, Geospatial domains, Model compression, GPU optimization, Distributed training pipelines
Technologies
PyTorch, TensorFlow, Python, Git, Docker, Kubernetes, AWS, GCP
Responsibilities
Develop and optimize neural networks for high-throughput execution; Integrate ML preprocessing and inference pipelines with software engineering platforms; Establish testing, validation, and monitoring frameworks; Evaluate results and communicate algorithm failure modes.
Seniority
Senior, hands-on IC