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Air Defense, Machine Learning Engineer
Develop and deploy machine learning models to enhance air defense capabilities against UAS threats.
Senior
$168,000 - 252,000 USD / year
1 week ago
✨ About The Role
- The Machine Learning Engineer will be responsible for developing Air Defense specific models to address complex challenges.
- The role involves proposing and prototyping innovative solutions using state-of-the-art techniques in machine learning.
- The engineer will develop and maintain core machine learning pipelines and train deep learning models for real-time applications.
- The position requires leveraging machine learning to evaluate system performance and enable sensor interfacing with systems of systems.
- Curating datasets for performance evaluation and trend comparison over time will also be a key responsibility.
âš¡ Requirements
- The ideal candidate will have a strong educational background in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- A minimum of 6 years of experience in developing and benchmarking machine learning algorithms on large-scale datasets is essential.
- The candidate should possess a robust understanding of machine learning and computer vision techniques.
- Proficiency in Python development and experience with deep learning frameworks such as PyTorch and TensorFlow is required.
- The successful individual will have experience deploying models in compute-restricted environments and writing automated continuous integration tests.
About Anduril
Transforming defense capabilities with advanced technology.