Senior ML Engineer - Recommender Systems at Scale

Apple, Inc.; Seattle (WA); On-site; USD 142,000 - 263,000; Full time

Benefits offered by this job

Comprehensive medical and dental care

Retirement benefits

Educational expense reimbursement

Relocation assistance

Job summary

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

You will own ranker modules end-to-end, engineer features, evaluate models, run A/B tests, and monitor production. The role demands strong Python ML skills and experience shipping models to production.

Qualifications

• Bachelor's and Master's in a quantitative field (CS/Math/Stats/Physics).
• Minimum 3+ years of relevant experience in ML/recommender systems.
• Hands-on experience with production-level recommender systems.
• Deep knowledge of recommendation systems and modeling, including deep-learning architectures.
• Proven track record shipping models to production at scale for billions of users.
• Knowledge of modern recommendation architectures across retrieval and ranking, multi-task learning, transformers, generative recommenders.
• Proficient with Python ML stack (TensorFlow, PyTorch, scikit-learn, numpy-scipy-pandas).
• Familiarity with big data tools (Spark, Hadoop, Kafka).
• Familiarity with using LLM-powered tools to accelerate engineering/research workflows.

Responsibilities

• Design, train, and ship recommendation models powering App Store personalization.
• Own ranker modules end-to-end: candidate representation, features, architecture, off-line evaluation, A/B tests, production monitoring.
• Advance adoption of state-of-the-art ranking techniques into production.
• Collaborate with ML researchers, data engineers, and infra teams to productionize modeling approaches with high reliability and low latency.
• Deliver production-quality code and promote engineering best practices and scalable architecture.
• Help drive the future growth of personalization across Apple's services.

Skills

3+ years of experience in recommender

Deep knowledge of recommender systems

Modern recommendation architectures

Python ML stack (TensorFlow, PyTorch,

Education

Bachelor's and Master's in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

numpy-sciPy-pandas

Spark

Hadoop

Kafka

Job description

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

You will own ranker modules end-to-end, engineer features, evaluate models, run A/B tests, and monitor production. The role demands strong Python ML skills and experience shipping models to production.