Machine Learning Software Engineer, Anduril Industries

• 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
• Excellent problem-solving skills and ability to work independently with minimal supervision
• Strong technical communication skills to collaborate effectively with cross-functional teams
• BS in Computer Science, Electrical Engineering, or related technical field
• Eligible to obtain and maintain an active U.S. Secret security clearance

Desirable

• As a Machine Learning Software Engineer on the Imaging team, you will develop machine learning solutions for advanced sensor technology from concept to production
• You'll optimize existing object detection algorithms and pioneer ML-based image enhancement techniques that push the boundaries of what's possible with our sensors
• Working closely with hardware engineers, you'll translate sensor capabilities into robust ML models that perform in real-world conditions
• Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio
• The Imaging team is responsible for tackling the most difficult problems involving computer vision, perception, electro-optical, infrared, and sensor data. The team develops state-of-the-art imaging systems across both hardware and software. Their products are deployed to tackle the most significant security challenges of America and its allies