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Machine Learning Engineer, Apple Services Engineering

Apple· Apple Services Engineering
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Hybrid (Seattle, WA)$142.3k - $263.3kfull-timePosted 1w ago

About the role

Design, build, and deploy recommendation models that personalize the App Store across Apple’s media offerings at a massive global scale. Collaborate with researchers and engineers to productionize cutting-edge AI models with high reliability and low latency, delivering personalized experiences across Apple's services.

Responsibilities

  • Design, train, and launch recommendation models that improve relevance and business metrics on key App Store surfaces.
  • Own ranker modules end-to-end: candidate representation, feature engineering, model architecture, offline evaluation, A/B experimentation, and production monitoring.
  • Drive adoption of state-of-the-art ranking techniques from research prototypes into production.
  • Partner closely with ML researchers, data engineers, and infrastructure teams to productionize new modeling approaches with high reliability and low latency.
  • Ship production-quality code and drive engineering best practices, system architecture, and code quality within the team.
  • Help chart the future growth of personalization across Apple's services ecosystem.

Qualifications

  • Bachelor's and Master's in a quantitative field, including Computer Science, Mathematics, Statistics, Physics, etc.
  • 3+ years of relevant work experience.
  • Hands-on experience with production-level recommender systems.
  • Deep knowledge of recommendation systems, design patterns and tools, with particular depth in deep-learning architectures and multi-task modeling.
  • Proven track record of shipping recommendation models to production at scale, with a strong understanding of the constraints of serving billions of users.
  • Knowledge of modern recommendation architectures across retrieval and ranking, multi-task learning, sequence and transformer-based models, generative recommenders, and multi-objective optimization.
  • Proven grasp of the open-source Python ML/AI tech stack, including TensorFlow, PyTorch, scikit-learn, numpy-scipy-pandas.
  • Familiarity with big data technologies and distributed computing (e.g., Spark, Hadoop, Kafka).
  • Familiarity with using LLM-powered tools (coding and research assistants) to accelerate day-to-day engineering and research workflows.
  • Strong written & oral communication skills.

Skills

Required:recommender systemsranking modelsdeep learningtransformer modelsPython ML stack
Nice to have:big data technologiesLLM-powered tools

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments (potential)
  • relocation assistance (potential)
  • employee stock programs including RSUs and Employee Stock Purchase Plan
Last updated Oct 16, 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.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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