Senior ML Engineer – ML Experimentation Portal

At Apple we believe in the power of technology to enrich peoples lives. Everything we build is designed to empower people including our advertising platform. We deliver ads in a way that benefits both customers and advertisers helping people discover content supporting creators and protecting and respecting everyones privacy. Our technology makes advertising possible on the App Store Apple Maps Apple News Stocks and Apple TV. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right it benefits Ads ML Experimentation team is looking for a ML Engineer who can build full-stack applications to help shape the future of how Apples advertising systems experiment to connect millions of global users to content from publishers and developers. Youll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create simple intuitive user experiences; they have a keen eye for the details that surprise and delight our customers.

DescriptionnnIn this role you will design and build the next generation ML and experimentation platform for the Apple Ads ecosystem. Youll be responsible for transforming complex ML workflows into intuitive web applications. You will introduce AI-powered insights through seamless user interfaces develop workflows from model training to A/B testing and evaluation all while delivering on Apples privacy commitments in large-scale distributed cloud computing join a team where we obsess over user experience and believe the best interfaces make complex technology feel simple. Youll conduct user research iterate on designs based on real feedback and measure success through user adoption and satisfaction. We value technical excellence in service of user needs not complexity for its own sake. You will join and contribute to a culture that emphasizes observability and understandability reliability resiliency simplicity reusability extensibility scalability velocity and Technologies Youll Use: nn* Infrastructure: Docker AWS Splunk DataDog etcn* Frontend: Modern JavaScript/TypeScript React data visualization libraries ( )n* Backend: Java 21 Spring Boot Python PostgreSQLn

Fluency in full-stack development using technologies such as React TypeScript and modern JavaScriptnIndustry experience in ML domain with experience building features and modelsnExperience in Ads domainnKnowledge of ML platforms/infrastructure ML fundamentals and Experimentation understanding of data structures and algorithms for optimizationnExperience designing implementing and iterating on intuitive user interfacesnExperience with both online and offline A/B Testing infrastructure and/or methodologies. nProficiency with database design and database languages (SQL) to build applications. nExperience with alerting and observability tools (DataDog Splunk) to monitor production systemsnSkilled at operating in a cross-functional organization. nAbility to condense complex concepts and projects into clear actionable takeawaysnExcellent communication and presentation skills with a curious business attitudenDesire to work in a fast-paced challenging environment with cross-functional ownership

Education u0026 ExperiencennDegree in Computer Science Statistics Applied Math or related field.n10 years of industry experience designing building maintaining and extending web-scale production systems.n