ML Engineer, Personalization & Recommendations for App Store

Apple Inc.; Seattle, Northern (WA, KY); Hybrid; USD 142,000 - 263,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products & free services

Educational expense reimbursement

Relocation bonuses/assistance

Job summary

Apple Inc. is seeking an exceptional Machine Learning Engineer to design, build, and ship recommendation models powering personalization across the App Store. You’ll partner with researchers to deploy cutting-edge AI models at Apple's global scale.

You will design end-to-end ranker modules, implement features, run offline and online evaluations, and monitor production systems. This role demands collaboration across teams and a strong track record in production ML.

Qualifications

• 3+ years of relevant work experience.
• Hands-on experience with production-level recommender systems.
• Deep knowledge of recommendation systems and deep-learning architectures.
• Proven track record of shipping recommendation models to production at scale.
• Knowledge of modern recommendation architectures across retrieval and ranking.
• Proficiency with open-source Python ML/AI tools (TensorFlow, PyTorch, scikit-learn).
• Familiarity with distributed computing technologies (Spark, Hadoop, Kafka).
• Familiarity with using LLM-powered tools to accelerate engineering and research workflows.

Responsibilities

• Design, train, and launch recommendation models that improve relevance and metrics on App Store surfaces.
• Own ranker modules end-to-end: representation, features, architecture, evaluation, A/B testing, production monitoring.
• Drive adoption of ranking techniques from research to production.
• Collaborate with ML researchers, data engineers, and infra teams to productionize modeling approaches.
• Ship production-quality code and improve system architecture and code quality.
• Help chart the future growth of personalization across Apple's services.

Skills

Production-level recommender systems

Recommendation architectures

Deep-learning architectures

Multi-task modeling

Python ML stack (TensorFlow, PyTorch,

Spark / Hadoop / Kafka

LLM-powered tools usage

Education

Bachelor's and Master's in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

numpy-scipy-pandas

Job description

Apple Inc. is seeking an exceptional Machine Learning Engineer to design, build, and ship recommendation models powering personalization across the App Store. You’ll partner with researchers to deploy cutting-edge AI models at Apple's global scale.

You will design end-to-end ranker modules, implement features, run offline and online evaluations, and monitor production systems. This role demands collaboration across teams and a strong track record in production ML.