Senior Machine Learning Engineering Manager – Ads Predictions

Apple • Cupertino, CA

16h

About The Position

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this
same approach to advertising, helping people find exactly what they’re looking
for and helping advertisers grow their businesses. Our 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 sizes—from small app developers to big,
global brands. Because when advertising is done right, it benefits everyone.

DESCRIPTION

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 constraints. You 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 constraints. In 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 stack—from 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.

Requirements

• 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets
• You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions
• You 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 implementation
• Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics
• You have experience developing and leading teams who develop in Python or Java
• You are familiar with databases, SQL, and scripting languages
• Proven ability to take requirements from design through to implementation both independently and with larger teams
• You thrive working closely with operational teams on deployment, monitoring, and management concerns
• You actively manage performance of the team reporting to you and take responsibility to drive its outcome
• PhD or MS in AI/ML/Mathematics/CS or related field

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees