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5 дней назад

Senior Machine Learning & Autonomy Engineering (AI/ML)

123 500 - 188 500$
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

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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 with an accent on RF data processing, digital signal processing, deep learning, and MLOps. Focus on building large-scale data pipelines, denoising and preconditioning spectrograms, analyzing real-world signal data, and scaling reliable detection capabilities.

Location: San Diego, California, United States. U.S. person status or eligibility for an export license is required under ITAR/EAR; U.S. citizenship is required for some contracts.

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 detection and signal processing problems.
  • Analyze and manage large RF datasets for model training and testing.
  • Build data-processing pipelines and automate manual workflows to improve efficiency.
  • Apply digital signal processing techniques to denoise and precondition spectrograms.
  • Analyze real-world results to identify root causes, statistical trends, and data quality improvements.
  • Collaborate with AI/ML, software engineering, research and development, and field test teams.

Requirements

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

Nice to have

  • Hands-on 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 coverage.
  • 401(k) with company matching.
  • 9/80 work schedule.
  • Paid holiday shutdown.
  • Mission-focused work developing autonomous defense systems.

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