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Senior Machine Learning & Autonomy Engineering (AI/ML)

123 500 - 188 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning & Autonomy Engineering (AI/ML): Developing and deploying machine learning algorithms that detect and classify drone threats for Counter-UAS systems, using large-scale RF datasets, DSP, data pipelines, and MLOps with an accent on signal processing, statistical analysis, and deep learning. Focus on denoising spectrograms, improving data quality, automating processing workflows, and scaling detection capabilities from real-world data.

Location: San Diego, CA, United States

Salary: $123,500–$188,500 per year

Company

hirify.global develops autonomous systems and defense technologies across air, land, sea, space, and cyber domains.

What you will do

  • Develop, apply, and evaluate machine learning algorithms for drone-threat detection and signal-processing problems.
  • Analyze and manage large RF datasets for model training and testing.
  • Apply digital signal processing techniques for denoising and preconditioning spectrograms.
  • Build data pipelines and automate manual data-processing workflows.
  • Analyze real-world results to identify root causes, statistical trends, and insights.
  • Collaborate with AI/ML, software engineering, research, development, and field-test teams.

Requirements

  • Master’s degree in machine learning, computer science, applied mathematics, or a similar field, plus 3 years of relevant experience.
  • Strong knowledge of digital signal processing principles and techniques.
  • Professional proficiency in Python.
  • Experience with machine learning, statistical signal processing, or pattern recognition.
  • Strong data-handling skills and experience working with large, complex datasets.
  • Must qualify as a U.S. person or be eligible for an export license under ITAR/EAR requirements; U.S. citizenship is required for some positions.

Nice to have

  • Experience with PyTorch or similar deep learning frameworks.
  • Familiarity with MLOps practices, including model training, versioning, and deployment.
  • Experience with spectral analysis, adaptive filtering, or detection and estimation theory.
  • Exposure to Counter-UAS, radar, electronic warfare, or defense RF systems.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • 401(k) with company matching.
  • 9/80 work schedule.
  • Paid holiday shutdown.
  • Mission-focused work on autonomous and defense technologies.

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