- Amazon (El Segundo, CA)
- …natural interface for interacting with technology across many domains. We are looking for a Sr . Machine Learning Data Associate to join our Information ... areas of editing, writing, and general data analysis deliverables. The Sr . Machine Learning Data Associate must be capable of: - Editing high-quality and… more
- Amazon (Los Angeles, CA)
- Sr . Product & Privacy Counsel @ Twitch Los...of laws and regulations, with a focus on privacy, data security, AI/ ML , and advertising / ad ... meet business goals while assessing mitigating legal risk. You will report to our Associate General Counsel. You can work in Los Angeles, CA; Irvine, CA; Seattle,… more
- Southern California Edison (Pomona, CA)
- …Business Process Integration S/4 HANA + SQL or equivalent certification + SAP Certified Associate Data Engineer - Data Fabric **Additional Information** + ... Energy Revolution** Become an **ERP Modernization - Information Technology, Process and Data Intelligence, Senior Advisor** at Southern California Edison (SCE)… more
- JPMorgan Chase (Irvine, CA)
- As an Analytics Solutions Associate at the Commercial Bank Data , Analytics, and Technology (DAT) organization, you will have a proven track record in the ... 2-5 years of experience in product management within technical domains; a focus on data or AI/ ML products is highly desirable. + Demonstrated ability to deliver… more
- Amazon (Culver City, CA)
- …the application of a range of laws and regulations, with a focus on privacy, data security, AI/ ML , and advertising / ad technology. - Review products, features, ... - Substantial experience with US and international laws regarding privacy/ data protection, content policy, intellectual property, marketing, or consumer protection… more
- Synchrony (Costa Mesa, CA)
- …the related Model Risk Management policies, standards, procedures as well as regulations ( SR 11-7). This role requires sufficient expertise to serve as project lead ... both internally and vendor-developed models, including new and existing, statistical/ ML or non-statistical models with effective challenges to identify potentials… more