AI/ML Intern


Job Description:

Leidos is offering a remote AI/ML Summer 2022 Internship out of our Arlington, VA office (virtual).

This position is for an intern that is motivated to learn quickly. The candidate should be familiar with Python and have significant experience with numpy, pandas, matplotlib, Scikit Learn, Keras, Tensorflow and/or Pytorch.

The candidate must be intellectually adaptive, inquisitive, good at expressing their needs, and self-managed when necessary. Selected candidates with work alongside junior and senior software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems. The applied nature of this research will ensure the hard work of the AI/ML Summer Resident will have impacts across the entire Leidos community and the mission critical applications they serve.

Primary Responsibilities
- Create AI/ML prototypes for use cases requiring identifying entity/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.
- Develop and maintain data models (both physical and logical)
- Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifying the data's relevant metadata to ensure consistency, quality, accuracy, integrity, and information assurance and security.
- Conduct anomaly detection using various AI/ML techniques
- Use algorithms to identify complex patterns across multiple modalities
- Increase the efficiency and quality data alignment and fusion
- Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms
- Direct quantitative data analysis including developing retrieval, processing, fusion, analysis, and visualization of various datasets
- Configure and program prototypes Jupyter notebooks with ML solutions
- Setup and use AWS instances to train and operate AI/ML models

Basic Qualifications
- Pursuing a Bachelor or Master's Degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Electrical Engineering, or Computer Engineering
- Must be eligible to obtain a DoD Top Secret security clearance with polygraph
- U.S. Citizenship required
- Practical experience with deep learning model creation/deployment
- Intermediate software development skills including developing and maintaining code bases
- Hands-on Software Development Skills (Python-Preferred)
- Experience or educational courses/projects in Machine Learning

Preferred Qualifications
- Hands-on experience with prototype development
- Hands-on experience with automating data cleansing, formatting, staging, and transformation

- Hands-on experience reading and replicating code/ideas from published academic papers
- Hands-on experience applying data analytics
- Hands-on experience with intelligent systems and machine learning
- Experience with interpretability of deep learning models

- Experience in deep learning approaches to computer vision and/or natural language processing

Pay Range: