Director of Algorithms, Ads Engineering

At Apple we focus deeply on our customers experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their technology powers ads and sponsorships across Apple Services including the App Store Apple News Maps and MLS Season Pass. Everything we do is designed for trust connection and impact: We respect user privacy integrate advertising thoughtfully into the experience and deliver value for advertisers of all sizes -- from small app developers to big global brands. When advertising is done right it benefits advertising platform connects millions of developers and businesses with users across one of the worlds most valuable digital ecosystems -- and the intelligence behind every ad decision lives in the algorithms. As the Director of Algorithms within Ads Engineering you will lead the applied scientists and ML engineers who build and scale that intelligence: state-of-the-art retrieval ranking auction and budget optimization systems that determine relevance efficiency and outcomes at massive scale. This is a role for a leader who wants to solve hard algorithmic problems that matter -- where privacy constraints sharpen the work rather than limit it and where craft and rigor are the standard.n

As the Director of Algorithms within Ads Engineering you will be the driving force behind the intelligence engine that powers Apples advertising ecosystem. You will lead a multidisciplinary organization of engineering managers applied scientists ML engineers and systems engineers -- setting the vision shaping the roadmap and delivering at the intersection of cutting-edge research and production-scale in this role requires a leader who approaches problem-solving with tact values diverse perspectives and builds strong trusting partnerships across organizational boundaries to deliver solutions that respect our users and empower our

Define the strategic vision and technical roadmap for the entire algorithms funnel delivering intelligence across all phases of ads delivery -- including retrieval ranking matching auction and budget optimization algorithm engineering excellence end-to-end across a complex production ecosystem partnering with infrastructure serving privacy and experimentation teams to translate state-of-the-art models into reliable customer-facing clear execution plans across organizational boundaries balancing research innovation with operational excellence launch readiness and production deeply with Ads Product leaders to co-drive marketplace strategy and translate business objectives into algorithmic systems that optimize advertiser outcomes user relevance auction efficiency and long-term marketplace closely with Data Insights and experimentation teams to define success metrics measurement frameworks and evaluation strategies that ground algorithmic decisions in rigorous transparent and grow your management team while providing guidance to senior technical ICs.n

15 years of professional experience in Machine Learning Applied Science or Software Engineering with a strong focus on performance advertising search or recommendation systems.n10 years of engineering leadership experience including a proven track record of managing other managers as well as senior/staff-level individual technical expertise across the entire algorithms funnel including signals processing candidate matching predictive modeling (e.g. CTR/CVR) and with modern techniques using embeddings transformer architectures distillation methods and reinforcement learning based experience in algorithm engineering with a strong understanding of how to build deploy and scale high-throughput low-latency ML systems in production communication and diplomatic skills with the ability to build consensus navigate complex cross-functional relationships and articulate technical strategies to both technical and non-technical demonstrated commitment to fostering an inclusive respectful and highly collaborative team culture that empowers individuals to do their best alignment with Apples core values particularly regarding user privacy and delivering premium user experiences.n

Experience with privacy-enhancing technologies (PETs) or building ML systems under strict privacy with Ads technology and .D. or Masters degree in Computer Science Machine Learning Artificial Intelligence Statistics or a related quantitative field accompanied by relevant industry experience.