Principal Machine Learning Engineer

This Principal ML Engineer role leads the design and implementation of advanced machine learning models and systems. The role requires deep expertise in ML frameworks and algorithms, and involves driving technical strategy and mentoring teams to solve complex business problems.

This Principal ML Engineer role leads the design and implementation of machine learning systems at scale. The engineer will architect ML pipelines, drive technical strategy, and mentor teams to solve complex problems in e-commerce and logistics.

This Senior Machine Learning Engineer role builds cutting-edge personalization technology for Pinterest's recommendation systems across Homefeed, Ads, Growth, Shopping, and Search. The engineer will experiment and improve ML models, leverage unique data properties for candidate retrieval, and work in a high-impact environment with quick experimentation and product launches. Requires 4+ years of industry experience with ML methods and end-to-end experience with large-scale ML systems and big data technologies.

This Senior Machine Learning Engineer role focuses on developing Pinterest Canvas, an internal text-to-image generative model, within the Pinterest Labs organization. The role involves prototyping new model architectures, working with large-scale visual-text datasets, conducting RLHF, and publishing research, requiring hands-on experience with diffusion models and computer vision.

The Coordinator of Client Services supports the ad sales team by managing client relationships, trafficking campaigns, and resolving operational issues. This role ensures seamless execution of advertising campaigns across ESPN's linear and digital platforms.

This Media Coordinator role supports media planning and campaign operations within a media/advertising organization. Responsibilities likely include coordinating ad trafficking, managing schedules, and supporting sales or marketing teams. Requires strong organizational skills and attention to detail.

This intern role supports quality operations and system auditing processes, focusing on monitoring and improving operational quality standards. Responsibilities likely include data collection, audit preparation, and process documentation to ensure compliance and efficiency.