Software Engineer, Apple Ads

Apple is where we use the power of technology to enrich peoples lives. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add the Apple Ads Engineering team and help build an advertising platform that benefits both customers and advertisers. Our technology makes advertising possible on the App Store Apple News Stocks and Apple TV helping people discover content supporting creators and publishers and connecting advertisers of all sizes with engaged audiences all with the unwavering commitment to privacy you expect from this role you will design develop and launch the highly-performant internet-scale backend systems that select and deliver the right ads in real time collaborating across engineering product and infrastructure to bring elegant solutions into production at Apple scale.n

You will design develop and operate the distributed services that make real-time ad selection possible at Apple. You will architect and build low-latency high-availability high-throughput ad-serving systems in a cloud environment engineer secure and scalable data processing pipelines that operate on petabyte-scale datasets and implement performant services that handle very high data volumes and QPS. You will work cross-functionally to ensure that optimal and correct ads are available for real-time selection and that observability and flexibility are provided for stakeholders. While this role focuses on the candidate retrieval part of Apple Ads we are not constrained by organization structure and offer the flexibility to contribute across a variety of backend systems including opportunities to apply algorithmic search machine learning NLP and AI to hard retrieval problems. You will write clean efficient well-documented code participate in code reviews and mentor other engineers on the team. Collaboration with internal partners across indexing search serving operations and program management to define requirements and deliver high-quality solutions is essential. You should be passionate about building products that protect user privacy and thrive in a fast-paced environment with rapidly changing priorities and have fun doing it.

Architect design and implement internet-scale low-latency highly-available ad-serving systems in a cloud environment. nBuild performant micro-services and distributed data platforms that support high data volumes and QPS. nEngineer secure scalable distributed data processing pipelines capable of processing petabyte-scale datasets for indexing and retrieval. nApply techniques from algorithmic search machine learning natural language processing and AI to advance candidate retrieval and ranking. nCollaborate with multiple internal teams to support indexing and searching use cases across the organization. nPartner with product managers operations SREs and fellow engineers to define requirements and deliver end-to-end systems. nWork effectively both independently and as part of a team to deliver complete systems from design through production. nWrite clean efficient well-documented code and participates in code reviews. nDebug and resolve complex issues across large-scale distributed current with advances in search retrieval distributed systems ML/AI and cloud infrastructure and contribute ideas that improve the platform.

3 years of industry experience architecting and developing internet-scale server software for Linux systems including scalable micro-services or data-driven platforms. nStrong background in computer science fundamentals including algorithms and data structures. nStrong coding skills in Go Java Rust C Scala or a similar OOP/Functional language. nHands-on experience designing and operating scalable micro-services. nExperience with search technologies such as Lucene Solr or Elasticsearch. Expertise with NoSQL datastores (e.g. Cassandra).nProficiency with data processing technologies (e.g. Kafka Spark Flink) and methods for processing petabyte-scale with AWS services such as Amazon S3 EC2 and EKS/Kubernetes. Strong problem-solving and debugging ability to work on complex problems and systems alone or as part of a team to deliver complete systems end to end. nExcellent written and verbal communication skills with the ability to work effectively with technical and non-technical cross-functional teams including operations and project management degree in Computer Science or equivalent experience.

Experience creating groundbreaking technology for algorithmic search machine learning natural language processing and artificial intelligence. nExperience building ad-serving recommendation or large-scale retrieval systems. nFamiliarity with real-time bidding candidate retrieval or ranking pipelines. nExperience operating services with strict latency and availability SLOs. nFamiliarity with privacy-preserving system design and data-handling practices. nStrong understanding of distributed systems fundamentals consensus replication and fault tolerance. nA desire to work in a fast-paced and challenging environment and a fast learner with strong motivation for growing and learning new technologies.