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Machine Learning Software Engineer

Anduril

Salary not specified
Sep 17, 2025
Lexington, MA, US
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Anduril Industries is a defense technology company aiming to transform U.S. and allied military capabilities by integrating 21st-century innovation into the defense industry. The company seeks to accelerate the design, development, and deployment of advanced military systems, particularly in areas like autonomy, AI, computer vision, sensor fusion, and networking, to address the challenges of strategic competition.

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
  • BS in Computer Science, Electrical Engineering, or related technical field
  • Eligible to obtain and maintain an active U.S. Secret security clearance
  • MS/PhD in Computer Science, Electrical Engineering, or related technical field