Engineering Manager - Ads Recommendations

Apple Inc

Cupertino, CA

JOB DETAILS
SKILLS
A/B Testing, Advertising, Algorithms, Analysis Skills, Apple, Artificial Intelligence (AI), Cadence, Campaigns, Computer Science, Continuous Improvement, Cross-Functional, Data Modeling, Data Processing, Emerging Technology, Engineering Management, Establish Priorities, Industry Standards, Java, Leadership, Machine Learning, Mathematics, Mentoring, Online Advertising, Performance Tuning/Optimization, Process Improvement, Production Systems, Python Programming/Scripting Language, SQL (Structured Query Language), Scripting (Scripting Languages), Statistics, Strategic Planning, System Operations, Systems Administration/Management, Team Lead/Manager, Technical Leadership, Technical Research, Technical Strategy
LOCATION
Cupertino, CA
POSTED
1 day ago

At Apple, we strive every day to create products that enrich people's lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. Were seeking a dynamic and strategic engineering manager to drive innovation in Ads Recommendations. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. Youll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple Ads and driving key business outcomes.

As an Engineering Manager / Tech Lead Manager, youll be responsible for building the next generation advertiser recommendation engine to enable advertisers to optimize for their campaign performance goals on Apple Ads. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grow. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, auction optimization, etc., all of which are critical for delivering an enhanced experience for advertisers on our platform. Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals. Leverage innovative research and technology including the latest GenAI and agentic approaches to deliver these capabilities at scale. Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers. Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant. Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser-facing applications. Work closely with engineering and business teams to scale innovations, improving advertiser experience and monetization potential across Apple Ads. Operate at utmost scale, ensuring efficient and reliable model deployment and execution. Architect and scale intelligence systems, addressing operational concerns and performance optimizations. Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence. 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager. Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability. Deep understanding of modern machine learning techniques, statistics, and quantitative optimization. Experience working with operational teams on deployment, monitoring, and system management. Experience running A/B tests and pilots for sales / advertiser-facing applications. Experience building GenAI and agentic systems. Hands-on experience with Python or Java in a production environment. Proficiency in databases, SQL, and scripting languages for data processing and model deployment. BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.5+ years of experience leading teams that apply advanced statistical/ML methods. Previous experience in the online advertising domain is a big plus. MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs