JobsML Research Engineer, Apple Services Engineering, Search
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ML Research Engineer, Apple Services Engineering, Search

Apple

Location

USA (Multiple Locations)

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Undergraduate with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
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·FY 2025

Job description

The Apple Services Engineering (ASE) team is seeking extraordinary machine learning engineers and researchers to develop next-generation search features for Apple's devices and platforms. This team powers search functionalities across various Apple services, including the App Store and Apple Music, and is known for its innovative breakthroughs. Engineers in this role will work on secure, end-to-end solutions while maintaining a commitment to Apple's privacy policy. The ASE Search team values diversity and creativity, aiming to enhance user experiences through advanced machine learning techniques.

Requirements

  • MS or Ph.D. in Computer Science or a related subject area
  • 2+ years of relevant industry experience
  • Strong industry experience with search, classification, regression, recommendation systems, or related fields
  • Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch
  • Deep understanding of search and information retrieval fundamentals
  • Experience in training and evaluating machine learning models using Python/PyTorch/TensorFlow
  • Experience building big data pipelines with Scala and Spark
  • Experience in distributed computing and micro-services architecture
  • Experience with GoLang is a plus
  • Familiarity with A/B experimentation and data-driven product development
  • Experience leading technical aspects for complex multi-functional projects

Responsibilities

  • Develop next-generation search features for Apple's devices and platforms
  • Build secure, end-to-end solutions for various Apple services
  • Collaborate with cross-functional teams to enhance user experiences
  • Train and evaluate machine learning models to improve search functionalities
  • Design and implement big data pipelines to support machine learning initiatives
  • Lead technical aspects of complex projects within the ASE Search team

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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