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Sr Machine Learning Engineer - ML Platform

Apple· Machine Learning Platform / Apple Ads
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Hybrid (New York City, NY)$184.7k - $277.6kFull-timePosted 1mo ago

About the role

Senior ML Engineer focused on building secure, scalable back-end systems and ML infrastructure for Apple's Ads ML Platform. Works with ML engineers and scientists to design, develop, and deploy features, models, and applications that improve and scale advertising capabilities while preserving user privacy.

Responsibilities

  • Experience writing mission-critical code for production machine learning systems
  • Experience building ML infrastructure, frameworks or services used by multiple teams
  • Experience building SDKs, API, and automation UIs used by development teams
  • Proven experience building automation and CI/CD
  • Passionate about improving the developer experience for AI/ML practitioners
  • Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
  • Solid understanding of model evaluation, train-serve skew and data drift
  • Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
  • Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
  • Strong problem solving, debugging and performance tuning skills
  • Results oriented, with the ability to communicate effectively with technical and non-technical multi-functional teams
  • Product-minded with a proven ability to seek projects with a sense of ownership
  • Experience in advertising industry
  • Experience with distributed training and/or optimizing large-scale models for low-latency serving
  • Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.
  • Experience building and/or operationalizing foundation models
  • Experience with agentic AI
  • Prior experience in privacy-preserving ML

Qualifications

  • PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS with 6+ years of engineering experience and 5+ years of ML experience; or BS with 7+ years of engineering experience and 5+ years of ML experience

Skills

Required:mission-critical codeML infrastructure / frameworksSDKs, API, automation UIsCI/CDML lifecycleModel evaluation / data driftDeep learning frameworksAdvertising ML experience
Nice to have:Distributed training / low-latency servingFoundation models / LLMs / multimodal modelsPrivacy-preserving ML

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • education-related reimbursements including tuition
  • discretionary bonuses or commission payments
  • relocation assistance
  • Apple shareholder programs (RSU, stock purchase plan)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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