AI/ML Developer for Computer Tomography Baggage Scanning

Qualifications

• Bachelor or master's degree in computer science, engineering, or related field
• Solid understanding of machine learning algorithms, deep learning architectures, and computer vision techniques
• Experience with image processing and analysis, particularly in the context of CT or X-ray imaging
• Proficiency in programming languages such as Python, MATLAB, or C++
• Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn
• Strong problem-solving skills and analytical thinking, with the ability to develop innovative solutions to complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment
• Must be able to attain and maintain government clearances
• Benefits include competitive salary and benefit package, opportunity to work on mission-critical projects, collaborative and dynamic work environment, access to cutting-edge technology, and resources for research and development
• The ideal candidate must be willing to commute to Boxborough, MA
• In-person work is required

Responsibilities

• Under the supervision of the Director, Technology, the AI/ML Developer for Computer Tomography Baggage Scanning key roles are responsible for enhancing security measures at airports, transportation hubs, and critical infrastructure facilities worldwide
• Research, develop, and implement machine learning algorithms and models for threat detection and object recognition in CT baggage scans
• Collaborate with engineers and domain experts to understand the requirements and challenges of baggage screening, preprocess, and annotate CT scan data for training and evaluation of AI/ML models
• Design and optimize machine learning pipeline for feature extraction, classification, and anomaly detection in baggage images
• Evaluate the performance and robustness of AI/ML models through rigorous testing and validation against real-world scenarios closely with software developers to integrate AI/ML algorithms into our baggage screening systems and optimize their performance in production environments
• Stay up to date with the latest advancements in AL, machine learning, and computer vision, and apply them to improve our security screening solutions

Full Description

• Job Summary/Objective:*

Under the supervision of the Director, Technology, the AI/ML Developer for Computer Tomography Baggage Scanning key roles are responsible for enhancing security measures at airports, transportation hubs, and critical infrastructure facilities worldwide.

We continue to innovate and expand our portfolio of products, seeking a talented AI/ML Developer with expertise in computed tomography (CT) baggage scanning to drive the development of AI-powered solutions for threat detection and security screening.

Essential Functions:

• Research, develop, and implement machine learning algorithms and models for threat detection and object recognition in CT baggage scans.

• Collaborate with engineers and domain experts to understand the requirements and challenges of baggage screening, preprocess, and annotate CT scan data for training and evaluation of AI/ML models.

• Design and optimize machine learning pipeline for feature extraction, classification, and anomaly detection in baggage images.

• Evaluate the performance and robustness of AI/ML models through rigorous testing and validation against real-world scenarios closely with software developers to integrate AI/ML algorithms into our baggage screening systems and optimize their performance in production environments.

• Stay up to date with the latest advancements in AL, machine learning, and computer vision, and apply them to improve our security screening solutions.

Qualifications:

• Bachelor or master's degree in computer science, engineering, or related field.

• Solid understanding of machine learning algorithms, deep learning architectures, and computer vision techniques.

• Experience with image processing and analysis, particularly in the context of CT or X-ray imaging.

• Proficiency in programming languages such as Python, MATLAB, or C++.

• Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.

• Strong problem-solving skills and analytical thinking, with the ability to develop innovative solutions to complex challenges.

• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

Preferred Qualifications:

• GPU (Cuda) computing techniques.

• Experience with baggage screening technologies and security systems, including CT-based scanners.

• Knowledge of threat detection algorithms and techniques for identifying prohibited items and potential security threats.

• Experience with large-scale data processing and distributed computing frameworks.

Work Authorization/Schedule:

• Must be able to attain and maintain government clearances.

• Benefits include competitive salary and benefit package, opportunity to work on mission-critical projects, collaborative and dynamic work environment, access to cutting-edge technology, and resources for research and development.

Work Location:

The ideal candidate must be willing to commute to Boxborough, MA. In-person work is required.