1796 Software Engineer Deep Learning jobs in Los Angeles,CA

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State

Expert Contributor - Software Engineer

Arise Virtual Solutions

Los Angeles, CA 90011

Disney Experiences Careers

Glendale, CA 91205

Eliassen Group

Glendale, CA 91222

Northrop Grumman

Redondo Beach, CA 90278

Visa Sponsorship Available

Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: SCI
TRAVEL: Yes, 10% of the Time
Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 2+ years of engineering experience OR
Master's degree in STEM (Science, Technology, Engineering, Math) discipline
Candidate must have an active SCI at time of application and prior to start date. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future.
Experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent
Experience using No Magic Cameo or equivalent
Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems
Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria
Experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent
Experience working on Agile programs and methodology