Senior Machine Learning & Autonomy Engineering

AeroVironmentSan Diego, CA
$123,500 - $188,500

About The Position

AeroVironment is seeking a Senior AI/ML Engineer to support the development and deployment of machine learning algorithms that detect and classify drone threats for our Counter-UAS systems. You will work with large-scale RF datasets, applying DSP techniques for denoising and preconditioning spectrograms, building data pipelines, and identifying opportunities to automate manual workflows. This role sits at the intersection of signal processing, statistics, deep learning, and MLOps, working closely with our San Diego AI/ML team, SW engineers, and field test teams to train models, improve data quality, and scale our detection capabilities.

Requirements

  • Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience
  • Strong foundation DSP principles and techniques
  • Proficiency in Python; MATLAB experience is a plus
  • Work experience with machine learning, statistical signal processing, or pattern recognition
  • Strong data handling skills and instincts for working with large, complex datasets
  • Curiosity and motivation to experiment with new approaches and automation strategies
  • Good written and verbal communication skills

Nice To Haves

  • Hands-on experience with PyTorch or similar deep learning frameworks
  • Familiarity with MLOps practices (model training, versioning, deployment)
  • Experience with spectral analysis, adaptive filtering, or detection/estimation theory
  • Demonstrated ability to propose creative solutions to data or workflow challenges
  • Exposure to Counter-UAS, radar, EW, or defense RF systems
  • Passion for building impactful products that serve real-world missions

Responsibilities

  • Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems
  • Analyze and manage large datasets to support model training and testing
  • Identify opportunities to automate data processing workflows and improve team efficiency
  • Apply Digital Signal Processing (DSP) principles to assist in algorithm development
  • Analyze results from real-world data to identify root causes, statistical trends, and insights
  • Collaborate with multidisciplinary teams in research and development efforts

Benefits

  • medical
  • dental
  • vision
  • 401K with company matching
  • a 9/80 work schedule
  • a paid holiday shutdown
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