Job description

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. 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. 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.

Requirements

Must-haves

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.
7+ years of experience building machine learning capabilities across many different product areas at scale.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: apple
Effort: medium