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Senior Machine Learning Manager, Apple Services Engineering AI/ML

Apple

10/15/2025

Cupertino, CA

Full-time

Salary: $228,100 - $342,800 a year


Job Description

The Apple Services Engineering (ASE) AI/ML organization is looking for an experienced Manager to help build next-generation media discovery experiences for Apple's ground breaking devices and platforms, leveraging Artificial Intelligence & Machine Learning at scale.

Requirements

  • Advanced degree (MS/PhD) in Computer Science, Machine Learning, Computational Linguistics, or related field.
  • 7+ years of experience in AI/ML, with 3+ years in leadership roles.
  • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar.
  • Deep understanding of modern ML architectures, pipelines, and evaluation techniques at scale.
  • Excellent communication, stakeholder management, and leadership skills.

Responsibilities

  • Lead and mentor ML researchers and engineers.
  • Foster a culture of technical excellence, innovation, and collaboration.
  • Stay ahead of advancements in LLMs, transformer architectures, and multimodal models.
  • Guide implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.
  • Encourage publishing, patenting, and collaboration with other AI/ML teams.

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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