Staff ML Engineer, Ad Auctions & Marketplace Optimization

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. is seeking a senior engineer to design and optimize the core auction system powering our advertising platform.

You will develop production-grade code to generate high quality ad recommendations, collaborating with product and business teams to drive new products and large-scale experiments. You will push state-of-the-art techniques across multiple domains to deliver scalable solutions for advertisers, users, and the Apple ecosystem.

Qualifications

• 8+ years of experience in online advertising, marketplace design, or large-scale recommendation/auction systems.
• Strong background in auction theory, mechanism design, optimization, statistics, or machine learning.
• Ability to apply and implement research concepts, ultimately in production quality code.
• Experience defining clear, testable research hypotheses, including intended impact on the business.
• Deep knowledge of design of experiments, online experimentation approaches, preferably at scale.
• Ability to formulate and advocate for R&D objectives and results to cross‑functional team members including executive business leadership and product management.
• Experience contributing and/or reviewing research for top conferences and publications.
• Deep fluency in Java or Python.
• Experience with Spark, Hadoop or other distributed frameworks.
• Masters in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.

Responsibilities

• Design, analyze, and optimize the core auction system powering Apple’s advertising platform.
• Develop production code to generate high quality ad recommendations and collaborate with business partners on new products.
• Lead large-scale experiments and innovations to improve the ad network across multiple technical domains.
• Drive state-of-the-art capabilities that differentiate Apple’s advertising products.
• Collaborate with cross-functional teams to set strategy and deliver end-to-end scalable solutions.

Skills

Auction theory

Mechanism design

Optimization

Statistics

Machine learning

Production-quality code

Research hypotheses

Design of experiments

Online experimentation

R&D objectives

Conferences publications

Java/Python

Spark

Hadoop

Economics/OR/ML/Statistics/Control

Education

Master's in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field

Tools

Spark

Hadoop

Job description

Apple Inc. is seeking a senior engineer to design and optimize the core auction system powering our advertising platform.

You will develop production-grade code to generate high quality ad recommendations, collaborating with product and business teams to drive new products and large-scale experiments. You will push state-of-the-art techniques across multiple domains to deliver scalable solutions for advertisers, users, and the Apple ecosystem.