Machine Learning Engineer
Responsible for the collection and analysis of statistics and information from multiple sources to identify trends in order to gain maximum insight that can give the company a competitive advantage; applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manipulate complex high-volume data from a variety of sources; creates new data collection frameworks for structured and unstructured data. Skills are typically acquired through an undergraduate degree in Engineering, Mathematics or Science discipline and 2 years related experience; Master’s degree may be preferred in lieu of required experience.
KBR has a rapidly expanding software presence in Kihei, HI that supports several on-going and anticipated new to be awarded Department of Defense programs.? We are looking for Engineers to support its on-going High-Performance Computing (HPC) and Deep Machine Learning / Deep Learning (ML/DL) software development activities, including Air Force Maui Optical and Supercomputing (AMOS) observatory Space Domain Awareness (SDA) programs.
Machine Learning Engineer candidates must be hands-on deep learning experts having the ability to architect and train deep learning models to drive creative solutions across a myriad of sensor data sources. Working across multiple groups and locations are keys to success in this position as is a passion for deep learning technology and a commitment to excellence.? The successful candidate will perform novel-concept machine learning research using HPC and specialized hardware, and support design and implementation solutions of broad requirements using Cloud, HPCand edge-devices with deep learning hardware and software solutions.?
Security Requirements:? ?Must meet eligibility requirements for a government security clearanc
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.