Description

This position requires general knowledge of machine learning and artificial intelligence so that the candidate can contribute to various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator. Candidates must be familiar will handling multiple types of data (text, image, video, audio, lidar, etc..). Along with those skills, the candidate must have demonstrated ability working independently and in technical teams to implement and customize algorithms to fusion multiple data modalities. In this position at Leidos Arlington, VA. office, the candidate should have at least intermediate Python coder ability along with hands-on experience using ML libraries like SciKit Learn, TensorFlow, Keras, etc.

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

- College student actively seeking a B.S. degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or related fields

- Must be able to obtain a Top Secret security clearance with a polygraph security clearance

- Knowledge of Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, Mxnet, etc. - Ability to apply these frameworks to real problems in the ‘time -series’ domain

- Practical hands-on experience and the ability to explain statistical analysis, reinforcement learning, transfer learning, natural language processing, and computer vision

- Intermediate software development skills lifecycle including developing and maintaining good production quality code

- Hands-on Software Development Skills (Python-Preferred)

- Experience or educational courses/projects in Machine Learning, and/or Text

Preferred Qualifications

- Visualizations/Web Development Skills (e.g. Tableau, D3, etc).

- Hands-on experience with prototype development

- Hands-on experience with automating data cleansing, formatting, staging, and transforming data human

- Hands-on experience applying data analytics

- Hands-on experience with intelligent systems and machine learning

- Experience with interpretability of deep learning models

- Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)

- Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection

Pay Range:

Pay Range $44,200.00 - $68,000.00 - $91,800.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

One company, four key markets Our key lines of business — civil, defense, health, and intelligence — are rife with opportunity. With the Leidos Innovations Center (LInC) as the technology-driven core of our business we continue our tradition of solving the toughest scientific and engineering problems for customers. An expanded workforce and capabilities portfolio enables us to compete internationally and provide increased efficiency and affordability to customers. As we grow, we'll maintain our agile and creative reputation.