Senior Machine Learning Engineering Manager – Ads Predictions

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 businesses. nnOur technology powers ads and sponsorships across Apple Services including the App Store Apple News 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 sizesfrom small app developers to big global brands. Because when advertising is done right it benefits everyone.

We are looking for a leader with deep experience in Ad Tech who has built and scaled complex machine learning models in production. Preferably you have a strong track record of delivering high-impact response prediction systems (e.g. click-through rate conversion rate post-conversion optimization) at scale and understand the nuances of optimizing for user engagement relevance and long-term value under latency bring hands-on experience developing and deploying large-scale models with an appetite for pushing state-of-the-art techniques and advancing model capability through increased scale and complexity. You are motivated by privacy-preserving machine learning and have experience building systems that operate effectively within privacy-first this role you will lead the strategy and development of inference models that predict and optimize user interactions with ads working across the full modeling stackfrom data and model training pipelines to real-time serving and experimentation. You will partner closely with engineering and product teams to define and execute a forward-looking roadmap. You thrive in a fast-paced Agile environment and are a hands-on ML leader who can drive execution while building strong collaborative teams.

Lead and grow a high-performing team of ML engineers and applied scientists focused on Ads Response Predictions across different surfacesnPartner cross-functionally with Engineering Product and Sales teams to deliver end-to-end solutions from ideation to productionnCollaborate closely with platform and infrastructure teams to optimize training inference and resource utilization for large-scale ML workloadsnDrive development and deployment of state-of-the-art machine learning models (including large-scale neural networks and LLM-based systems) for ads quality and marketplace optimizationnOwn the full lifecycle of ML systemsdata modeling offline evaluation online experimentation and productionization at scalenLead A/B experimentation strategy and decision-making translating complex data insights into clear product and business recommendationsnEnsure robust system design across modeling feature pipelines and online serving with a focus on scalability latency and reliabilitynChampion privacy-preserving machine learning approaches in model development data usage and system designnSet a high bar for technical excellence code quality and operational rigor including monitoring debugging and continuous improvement of production systemsnMentor and develop team members actively managing performance and fostering a culture of ownership innovation and executionnCommunicate effectively with senior leadership distilling complex technical concepts into clear actionable insights and strategy

10 years applying and leading teams that apply advanced statistical/ML methods and work with large complex data setsnYou can actively participate in investigations into multiple streams of ads quality data and draw conclusions from data recommend actionsnYou have experience in some of the following domains: Algorithms Architecture Artificial Intelligence Database Systems Data Mining Distributed Systems Machine Learning Networking Statistics Game Theory Auction Design or other experience with rigorous Quantitative Analysis or Systems Software implementationnPractical understanding of the mathematics behind modern machine learning linear algebra and statisticsnYou have experience developing and leading teams who develop in Python or JavanYou are familiar with databases SQL and scripting languagesnProven ability to take requirements from design through to implementation both independently and with larger teamsnYou thrive working closely with operational teams on deployment monitoring and management concernsnYou actively manage performance of the team reporting to you and take responsibility to drive its outcomenPhD or MS in AI/ML/Mathematics/CS or related field

10 years applying and leading teams that apply advanced statistical/ML methods and work with large complex data setsPhD in AI/ML/Mathematics/CS or related field