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Software Engineer, ML & ML Ops

ExecutivePlacements.com

$166,000 - $253,000
Nov 20, 2025
Washington, DC, United States of America
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Anduril Industries is a defense technology company aiming to transform military capabilities with advanced technology, specifically by bringing 21st-century innovation to the defense industry to modernize military systems. The company is focused on developing AI-powered operating systems and cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology for military applications.

Requirements

  • At least 4-10+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
  • Experience building software solutions involving significant amounts of data processing and analysis
  • Ability to quickly understand and navigate complex systems and established code bases
  • 1-2 years of experience with applied ML or MLOps, including experience in some or all the following areas:
  • Developing and deploying machine learning models for production applications
  • Utilizing machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Building and maintaining data pipelines for training and inference such as Kubeflow, MLflow, MetaFlow

Responsibilities

  • Own the software solutions that are deployed to customers
  • Write code to improve products and scale the mission capability to more customers
  • Collaborate across multiple teams to plan, build, and test complex functionality
  • Create and analyze metrics that are leveraged for debugging and monitoring
  • Triage issues, root cause failures, and coordinate next-steps
  • Partner with end-users to turn needs into features while balancing user experience with engineering constraints
  • Own software spanning Menace Platform: command & control, planning, autonomy, optimization, mesh platform.

Other

  • A desire to work on critical software that has a real-world impact
  • Travel up to 30% of time to build, test, and deploy capabilities in the real world
  • Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics