Senior Machine Learning Engineer
US-VA Field Based, United States
R
USD 146K-230K (estimate) Senior-level Full Time
Tasks
- Advance MLOps best practices
- Collaborate with infrastructure teams
- Deploy machine learning across server fleets
- Design and implement machine learning pipelines
- Develop data management processes
- Ensure production system reliability scalability security
- Implement monitoring and testing frameworks
- Integrate machine learning models into applications
- Lead model deployment
- Manage machine learning models in production
- Optimize machine learning inference
Perks/Benefits
Skills/Tech-stack
ARM | Bundle adjustment | C++ | Camera Calibration | Camera tracking | Cloud processing | Computer Vision | Depth Camera | Depth Estimation | Depth Map Filtering | Depth mapping | EKF | Edge Computing | Embedded Systems | Environment understanding | Feature Matching | Feature tracking | Homography Estimation | Lidar | Loop Closure | MLOps | Machine Learning | Multi-view Geometry | NVIDIA Jetson | Nerf | Neural radiance fields | NumPy | Object Detection | OpenCV | Optical Flow | Point Cloud | Point Cloud Processing | Pose Estimation | PyTorch | Python | Radiance Fields | SLAM | Semantic Segmentation | Sensor fusion | Spatial mapping | Structure from Motion | TSDF | Visual Odometry | Volumetric reconstruction
Education
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