Machine Learning Engineer - Matching, Apple Ads

Apple•Cupertino, CA

15h

About The Position

Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval system. In this role you will drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities. You will own end-to-end the ideation, development, testing and productization of these algorithms. You will work with complex problems in the ads retrieval space, provide solution that adhere to Apple’s privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities. This role will work closely with organizational partners and be expected to present findings across the organization.

Requirements

4+ years of experience building machine learning capabilities across many different product areas at scale
Proven experience in NLP, information retrieval and search
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 understanding of design of experiments, online experimentation approaches, preferably at scale
Experience contributing and/or reviewing research for top conferences and publications
Master's, or equivalent experience, in NLP, Machine Learning, Statistics, 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
experience developing and implementing machine learning algorithms, ideally within the ads space
excellent understanding of scalable architectures
thrive working in Agile environments
ability to be a good team player under tight deadline constraints

Nice To Haves

7+ years of experience building machine learning capabilities across many different product areas at scale
PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, 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

develop models that improve our platform across the board
write production code to generate recommendations
work closely with business partners to help drive the development of new products
perform large scale and complex experiments to understand their effects
drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network
develop a deep understanding of the ad network behavior
work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains
lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business
drive step-change improvements in our outcomes
impact our platform revenue and quality of our ads
formulate approaches to greenfield product opportunities
own end-to-end the ideation, development, testing and productization of these algorithms
work with complex problems in the ads retrieval space
provide solution that adhere to Apple’s privacy principles
review and contribute to state of the art in research
work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities
present findings across the organization