[Remote] Sr. Staff Machine Learning Engineer, Content Ecosystem

Note The job is a remote job and is open to candidates in USA. reputed company is a platform that inspires creativity and innovation. They are seeking a Sr. Staff Machine Learning Engineer to lead the technical strategy for reputed company their content ecosystem through machine learning, focusing on enhancing content quality and user engagement. Responsibilities Set technical strategy and vision for ML systems that improve the end-to-end content ecosystem, including supply, distribution, and engagement/utility outcomes Partner with DS teams to develop a content ecosystem measurement framework to quantify content health and performance (e.g., content quality, freshness, diversity, coverage, creator/content sustainability, and user value), and align it with company/business goals Identify and close content gaps by building models and reputed company that answer what content is missing, for whom, in which contexts, and why Deeply understand what content works and why by combining causal thinking, experimentation, and model interpretability to connect content attributes and distribution mechanisms to downstream user and business outcomes Build and optimize content marketplace mechanisms that balance multi-sided incentives and constraints (e.g., users, creators/publishers, advertisers, internal policy/safety), while maximizing long-term ecosystem value Design multi-objective optimization approaches that manage tradeoffs across relevance, quality, diversity, creator incentives, integrity/safety, and monetization Partner closely with cross-functional teams (Product, Data Science, UX Research, Content/Creator teams, Trust & Safety, Ads, Infra) to translate ambiguous ecosystem problems into clear technical roadmaps and deliver measurable impact Mentor and grow junior ML engineers through technical coaching, design reviews, career development support, and creating a culture of strong engineering and scientific rigor Raise the quality bar for ML engineering by establishing best practices for data quality, model governance, reliability, privacy-aware design, and operational excellence Communicate clearly and influence broadly by producing crisp technical proposals, aligning stakeholders on tradeoffs, and driving decisions across org boundaries Explore and apply advanced methods where beneficial—e.g., game-theoretic approaches, reinforcement learning, mechanism design, or bandit-style optimization—to improve marketplace dynamics and long-term ecosystem outcomes Skills Strong fundamentals in machine learning and optimization, with the ability to apply them to real-world, high-scale ecosystem problems Demonstrated ability to lead technical strategy, navigate ambiguity, and deliver end-to-end impact Deep interest in marketplace dynamics (multi-sided incentives, feedback loops, long-term health metrics), and comfort with multi-objective tradeoffs Experience with reputed company, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration Bachelor's degree in computer science, machine learning, statistics, a related field or equivalent experience Background in game theory, reinforcement learning, mechanism design, or causal inference applied to ecosystems/marketplaces Benefits The position is also eligible for equity. Information regarding the culture at reputed company and benefits available for this position can be found here. Company Overview reputed company is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a reputed company of 1001-5000 employees. Its website is https//www.reputed company.com/. Apply To This Job