Machine Learning Scientist, IRAD

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Battelle delivers when others can’t. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients—whether they are a multi-national corporation, a small start-up or a government agency.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

We are currently seeking a Machine Learning Scientist. This position located in Egg Harbor Township, NJ.

JOB SUMMARY

Battelle’s Aviation Security Division provides research development test and evaluation services to the Department of Homeland Security (DHS) Transportation Security Laboratory (TSL). The qualified candidate for this position will support TSL Developmental Test & Evaluation (DT&E) projects, Internal Research and Development (IRaD) projects, and other company divisions with machine learning and artificial intelligence expertise.

MAJOR RESPONSIBILITIES

• Develop a convolutional neural network (CNN) image classifier to process large sets of stream-of-commerce (SOC) air cargo X-ray images for commodity characterization.
• Advance ML data augmentation capabilities using Generative Adversarial Networks (GAN) to generate fully synthetic air cargo X-ray image data.
• Apply ML data augmentation techniques to synthesize Advanced Imaging Technology (AIT) passenger body scans via GAN-based inpainting models.
• Works with other team members to research and develop tools and techniques to train and test machine learning algorithms.
• Works with other team members to design, build, modify, and implement software applications that apply machine learning methods.
• Use machine learning techniques to perform data analysis.
• Provide engineering support to technical staff including data preparation and labelling, training and evaluation of machine learning algorithms.
• Develop software tools to automate workflow and tasks such as data preparation and labelling.
• Follow user requirements and documentation to code, modify and debug programs for assigned projects or functional areas
• Applies standard practices to analyze programs and formulate logic, prepare flowcharting, perform coding, and test/debug programs
• Prepares and obtains approval of system and programming documentation
• Reviews system requirements and processes
• Support system testing as needed

THE FOLLOWING IS REQUIRED

• Successful completion of study from an accredited college or university leading to a bachelor’s degree in computer science, machine learning, math, physics or related analytical field from an accredited college or university and at least 2 years of experience. 
• Candidates should have experience in solving problems in computer vision related to object detection, anomaly detection, etc.
• Background in python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc. 
• Candidates should have strong oral and written communication skills.
• Candidates should be highly motivated and self-starter with a strong desire to learn.
• Sole US Citizenship with eligibility and willingness to obtain and maintain a DoD Secret Security Clearance and to obtain both TSA and DHS Suitability.

THE FOLLOWING IS DESIRED

• Background in x-ray or spectroscopic imaging methods.
• Familiarity with deep learning explainability methods
• Image analysis using ImageJ and OpenCV
• Experience in any of the following: Bash, Docker, Git
• Experience in user interface design and implementation
• Prior laboratory testing experience
• Prior experience working for TSA or DHS
• DoD Secret security clearance