Algorithm Engineer for AI, CV & Security Tech

Analogic; Salem (NH); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

9/80 Schedule

Flexible Vacation

Medical Benefits

HSA/HRA

401K Match

Education Support

Collaborative Culture

Job summary

Analogic is seeking an Algorithm Engineer to develop detection, classification, and image analysis algorithms for advanced security screening solutions. You will work on AI/ML models, data analysis tooling, and contribute to production-ready deployments within a multidisciplinary team.

Qualifications include degrees in engineering/CS/DS and experience with ML frameworks (TensorFlow, PyTorch, Keras) and CV techniques. U.S. citizenship and security vetting eligibility are required.

Qualifications

• Bachelor’s/Master’s/PhD in Engineering, Physics, CS, DS, or related field.
• Academic or project experience in AI, ML, CV, image processing, or software development.
• Experience with algorithm development and data analysis.

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, ML, and deep learning.
• Collaborate with multidisciplinary engineering teams to move concepts from research to production.
• Document technical work and communicate results to stakeholders.
• Contribute to innovative solutions that enhance security screening capabilities.

Skills

AI/ML

Computer Vision

Image Processing

Object Detection

Deep Learning

Python

MATLAB

C++

TensorFlow

PyTorch

Keras

Windows/Linux

Explainable AI

Education

Engineering/CS/DS degree

Tools

TensorFlow

PyTorch

Keras

Python

MATLAB

C++

Job description

Analogic is seeking an Algorithm Engineer to develop detection, classification, and image analysis algorithms for advanced security screening solutions. You will work on AI/ML models, data analysis tooling, and contribute to production-ready deployments within a multidisciplinary team.

Qualifications include degrees in engineering/CS/DS and experience with ML frameworks (TensorFlow, PyTorch, Keras) and CV techniques. U.S. citizenship and security vetting eligibility are required.