Senior Machine Learning Engineer - Matching, Apple Ads

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
4-6 years
Cupertino, California, United States
work from office

Posted: 1 week ago
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Applicants: 149+
Job Description
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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 Appleโ€™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.
  • Looking to get Placed? Try our Placement Guarantee Plan

    Masters, 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.

Skills

AlgorithmsTesting

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valleyโ€“based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of Augustโ€ฏ2025, Apple ranks #3 globally by market capitalization (โ‰ˆโ€ฏUSโ€ฏ$3.4โ€ฏtrillion) and reported FYโ€ฏ2024 revenue of USโ€ฏ$391โ€ฏbillion. It remains the secondโ€‘largest smartphone maker and fourthโ€‘largest PC vendor worldwide, while expanding into AIโ€‘powered devices, sustainable technology solutions, and mixedโ€‘reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Appleโ€™s interview process in India is known for its rigor, cultural fit focus, and innovationโ€‘driven assessment โ€” attracting engineers, designers, and business talent passionate about shaping futureโ€‘ready technology.

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Important dates & deadlines?

Application Deadline

04 Apr 26, 03:03 PM IST

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Senior Machine Learning Engineer - Matching, Apple Ads

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