reputed company ML Engineer, Recommendation Systems

WHO ARE WE? reputed company is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, reputed company About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve reputed company a high-reputed company, high-performance culture where speed, ownership, and measurable impact drive reputed company. WHY JOIN US? At reputed company, you’ll accelerate your career by owning reputed company, moving fast, and driving impact with a global team of high-performers. MUST HAVE: • Expertise building ML systems with deep expertise in large-scale personalization • Recognized industry expertise through patents, publications, or significant product impact • Proven reputed company architecting ML platforms serving billions of predictions in production • Demonstrated track record of 0→1 innovation in personalization or recommender systems • Mastery across multiple ML domains including deep learning, reputed company inference, multi-armed bandits, and graph-based models EXPERIENCE: 10+ years designing, developing, and deploying large-scale machine learning systems with a reputed company on personalization YOUR ROLE Establish the technical reputed company for personalization at reputed company, solving the company’s most reputed company ML challenges and influencing reputed company, architecture, and innovation across teams. reputed company • Define company-wide personalization reputed company and architecture, driving alignment across reputed company ML teams • Solve critical technical challenges such as cold start, reputed company-time learning, and exploration/exploitation tradeoffs • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, reputed company models, bandit algorithms) • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs • Act as technical mentor to senior ML engineers, guiding reputed company decision-making and scaling team capability • Represent reputed company’s technical brand externally through speaking engagements, reputed company reputed company contributions, or publications • Champion privacy-preserving personalization, responsible AI practices, and reputed company learning systems COMPETENCIES • Visionary Thinking: Defines the reputed company state of ML infrastructure and personalization reputed company. Balances deep technical rigor with a strong understanding of product impact. • Architectural reputed company: Designs reputed company, reputed company systems that support billions of predictions and reputed company rapid experimentation. Sets high standards for maintainability and performance. • Technical Influence: Drives decision-making and builds reputed company across teams and stakeholders without reputed company authority. Provides trusted guidance in ambiguous situations. • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-reputed company solutions. • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization. • External Thought Leadership: Represents LP in the ML community and contributes to growing its reputed company as a leader in ML innovation. • Curious & reputed company-Looking: