Kellogg Brown & Root (www.kbrjobs.com)
Interns will work with scientific and engineering staff supporting projects such as the using Machine Learning techniques including reinforcement learning for training autonomous systems, learning Explainable AI and using it to detect bias in machine learning models, using distributed ledger/block-chain technology in governance and management of flight identifiers, applying Artificial Intelligence for IT Operations( AIOps) to enhance IT operations by combining big data, machine learning and visualization
Interns will spend the majority of their researching, installing, and configuring new tools, programming using the selected tools, and learning more efficient methods to solve a given problem. Interns are not required to be programming experts, but they should have a passion for learning about new things and not be afraid to jump in and try out new tools and/or solutions. Fridays are reserved for documenting the work that week, which is in the form of a Wiki site, and numerous forms of documentation (PowerPoint, Word, Visio, etc.). Once a month, interns will present the work they have completed to other staff members at KBR.
Required: Must be enrolled in undergraduate coursework in a degree program at an accredited university.
Desired: Basic familiarity with virtual environments and cloud-based technologies, as well as programming languages such as Java, Python, Perl, etc.
KBR offers a selection of competitive lifestyle benefits which could include a 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
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.
Primary Location: US-US-TX-Houston
Req ID: 1082697