Aviation Security AI/ML Algorithm Engineer

Analogic-Corporation-1

Salem (NH)

On-site

USD 110,000 - 160,000

Full time

9 days ago
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Benefits offered by this job

9/80 work schedule
Flexible vacation
Comprehensive benefits: medical, denti
HRA/HSA contributions
401K with company match

Job summary

Analogic seeks an Algorithm Engineer to advance detection and classification in security and aviation applications using AI, ML, 3D imaging, and computer vision. You will work on algorithm development, data analysis tools, and model improvement in a cross-disciplinary team.

The role emphasizes collaboration, documentation, and translating research into production-ready solutions with real-world impact.

Qualifications

  • Bachelor's, Master's, or PhD in Engineering, Physics, Computer Science, Data Science, or a related technical field.

Responsibilities

  • Develop algorithms for detection, classification, image analysis, and AI/ML applications.
  • Design tools and methods for data analysis, testing, validation, and model improvement.
  • Research and apply emerging technologies in AI, machine learning, and deep learning.
  • Collaborate with multidisciplinary engineering teams to move concepts from research to production.
  • Document technical work and communicate results to a variety of stakeholders.
  • Contribute to innovative solutions that enhance security screening capabilities.

Skills

AI & ML
Computer Vision
Python
C++
MATLAB
Data Analysis
Team Collaboration
Explainable AI

Education

Bachelor's/Master's/PhD in Engineering/CS/Data Science

Tools

TensorFlow
PyTorch
Keras
Windows/Linux
Git

Job description

Analogic seeks an Algorithm Engineer to advance detection and classification in security and aviation applications using AI, ML, 3D imaging, and computer vision. You will work on algorithm development, data analysis tools, and model improvement in a cross-disciplinary team.

The role emphasizes collaboration, documentation, and translating research into production-ready solutions with real-world impact.

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