Senior Software Engineer, Apple Ads

Cupertino, California, United States Software and Services

Apple is where we use the power of technology to enrich people's lives. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's 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.

It's 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, you'll do more than join something — you'll add something.

Join 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 Apple.

In 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.

You will design, develop, and operate the distributed services that make real-time ad selection possible  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.
• Build performant micro-services and distributed data platforms that support high data volumes and QPS.
• Engineer secure, scalable distributed data processing pipelines capable of processing petabyte-scale datasets for indexing and retrieval.
• Apply techniques from algorithmic search, machine learning, natural language processing, and AI to advance candidate retrieval and ranking.
• Collaborate with multiple internal teams to support indexing and searching use cases across the organization.
• Partner with product managers, operations, SREs, and fellow engineers to define requirements and deliver end-to-end systems.
• Work effectively both independently and as part of a team to deliver complete systems from design through production.
• Write clean, efficient, well-documented code and participates in code reviews.
• Debug and resolve complex issues across large-scale distributed systems.
• Mento…