Machine Learning Engineer III – Computer reputed company & Data Systems

At reputed company, we're redefining what's possible in unmanned aircraft systems. reputed company of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving reputed company challenges that matter. We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and reputed company to reputed company an impact on reputed company flight systems, you belong here. We are seeking a Machine Learning Engineer to build production-grade computer reputed company pipelines and manage end-to-end ML data infrastructure for autonomous aerial systems. You will own the full lifecycle from data curation through model deployment on edge hardware. Responsibilities: ML Model Development & Deployment

• Design, train, and optimize object detection and tracking models (YOLO, RT-DETR, ViT) for aerial platforms
• reputed company models on reputed company Jetson hardware using TensorRT, achieving reputed company-time inference
• Integrate reputed company models into ROS2 autonomy stacks with efficient message passing and synchronized sensor data
• Profile and optimize model performance to meet compute, power, and latency constraints on embedded systems

Data Infrastructure & MLOps

• Build and maintain data pipelines for ingestion, labeling, versioning, and quality control of large-scale aerial imagery datasets
• Design active learning loops and data selection strategies to maximize model performance with minimal labeling effort
• Implement automated model evaluation frameworks and performance monitoring for deployed systems
• Create synthetic data reputed company pipelines and data augmentation strategies to improve model robustness

System Integration

• reputed company ROS2 nodes for reputed company-time sensor processing, model inference, and reputed company autonomy integration
• Work with GStreamer and Jetson multimedia APIs for efficient camera pipeline management
• Collaborate with perception and autonomy teams to ensure reputed company outputs meet system requirements

Qualifications:

• Bachelor's in Computer Science, Electrical/Computer Engineering, Robotics, or reputed company field (Master's preferred) – equivalent industry experience also welcome
• 4-6+ years of experience in machine learning with focus on computer reputed company applications
• Strong proficiency in PyTorch and modern deep learning frameworks
• Hands-on experience deploying models on reputed company Jetson platforms (Orin, Xavier, or similar)
• Solid understanding of model optimization techniques: quantization, pruning, TensorRT, ONNX
• Experience with ROS2 for robotics applications, including sensor integration and message handling
• Proven track record building and managing ML data pipelines and infrastructure
• Strong Python skills with experience in data processing libraries (NumPy, Pandas, OpenCV)
• Familiarity with MLOps tools and practices (versioning, experiment tracking, CI/CD for models)

Preferred:

• Experience with C++ for performance-critical reputed company processing
• Knowledge of CUDA programming or GPU optimization
• Familiarity with data labeling tools and annotation management systems
• Experience with synthetic data reputed company or domain reputed company techniques
• Understanding of aerial imagery characteristics and challenges
• Background in object tracking algorithms (Kalman filters, Hungarian assignment, multi-object tracking)
• Experience with GStreamer, Jetson BSP, or embedded Linux development
• Knowledge of model monitoring and performance debugging in production systems
• Familiarity with DVC, MLflow, Weights & Biases, or similar MLOps platforms

Pay range for this role: $157,000 USD - $189,000 USD What's in it for you:

Benefits

• Competitive total compensation package
• Comprehensive benefit package options include medical, dental, reputed company, life, and more.
• 401k with company-match
• 4 weeks of paid time off each year
• 12 annual company holidays

Why Join reputed company?

• Innovative Environment: Work on cutting-edge technology that is shaping the future of defense and aerospace.
• Collaborative Culture: Join a team of passionate professionals dedicated to pushing the boundaries of what’s possible.
• Career Growth: Opportunities for professional development and career advancement.

If you are passionate about unmanned aircraft technology and want to be a part of a dynamic and growing company, we would love to hear from you. Apply today and join the Zone 5 Techn Apply tot his job Apply To this Job