Anduril Industries is a defense technology company aiming to transform military capabilities with advanced technology. The Imaging team specifically needs to tackle complex problems in computer vision, perception, and sensor data to develop state-of-the-art imaging systems for significant security challenges.
Requirements
- Strong technical foundation in machine learning principles and algorithms with at least 2 years of experience building real-world ML systems
- Strong foundation in computer vision fundamentals, including both classical techniques and modern deep learning approaches
- Proficiency in Python and PyTorch or equivalent deep learning frameworks
- Experience with the full ML development lifecycle (data preparation, model training, validation, deployment)
- Understanding of how to optimize ML models for real-time or resource-constrained environments
- Experience with real-time ML systems (NVIDIA deployment stack, ONNX, TensorRT, model quantization)
- Familiarity with C++ for performance-critical applications
Responsibilities
- Develop machine learning solutions for advanced sensor technology from concept to production.
- Optimize existing object detection algorithms.
- Pioneer ML-based image enhancement techniques that push the boundaries of what's possible with our sensors.
- Translate sensor capabilities into robust ML models that perform in real-world conditions.
- Identify and develop novel ML applications across our product portfolio.
Other
- Excellent problem-solving skills and ability to work independently with minimal supervision
- Strong technical communication skills to collaborate effectively with cross-functional teams
- Eligible to obtain and maintain an active U.S. Secret security clearance
- BS in Computer Science, Electrical Engineering, or related technical field
- Knowledge of ML Ops tools and practices (experiment tracking, model versioning, CI/CD for ML)
