Senior Manager, Machine Learning Engineering

Candidates must have 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development. A minimum of 3 years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles is required. Extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices is necessary, along with deep expertise in developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents. Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design is essential. Experience employing robust CI/CD pipelines, automated testing, automated model performance evaluation, and deployment practices is expected. Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture are crucial. A track record of innovation, cross-functional collaboration, and hiring top-tier talent is required, as is excellent communication ability. A Bachelor's degree in Computer Science, Software Engineering, or a related technical field is preferred.