Senior Machine Learning Engineer

A world-leading TV streaming platform, connecting millions of consumers to the content they love, is seeking a talented individual to drive innovation in their ad monetization strategy. This company enables content publishers to build and monetize large audiences and provides advertisers unique capabilities to engage consumers, making a significant impact on how the world watches TV.The Role Translate ambiguous business problems into clear hypotheses, measurable objectives, and actionable strategies Develop advanced ML models and research-driven methodologies to drive product innovation and improve business outcomes Design and run live experiments to prototype improvements and validate their effectiveness Build production-grade ML systems that operate reliably in large-scale, low-latency ad serving environments Partner with cross-functional stakeholders to define, plan, and drive the ML strategy for Ad Serving Provide technical leadership and mentorship in machine learning, experimentation frameworks, and applied research best practicesWhat You'll Need 10+ years of industry experience applying machine learning and data science to solve complex, mission-critical real-world problems Deep expertise in statistics, machine learning, and optimization techniques Ability to perform as a staff+ technologist on complex, revenue-critical, large-scale distributed ML systems Hands-on experience building and deploying ML models in production, including feature engineering, model serving, monitoring, and continuous improvement Solid software engineering skills in languages such as Python, SQL, and Java/Scala Strong CS fundamentals with the ability to translate ideas into clean, efficient code with easeWhat's On Offer Opportunity to delight millions of TV streamers globally Work in a fast-growing public company with meaningful experience across diverse disciplines Comprehensive benefits package including health insurance, equity awards, and parental leave Hybrid work model with flexible remote work options on FridaysApply via Haystack today!