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# Machine Learning Engineer, Apple Services Engineering

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $142,300.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, App Store (IOS), Big Data, Software Quality, Software Design Patterns, Distributed Systems, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Open Source Technology, Recommender Systems, Tensorflow, Systems Architecture, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Pandas, Scikit Learn, Information Technology, Low Latency, Multi-objective Optimization, Apache Kafka
- **Published:** October 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28097315/Machine-Learning-Engineer-Apple-Services-Engineering-Washington-Seattle-7413

## About the Role

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.

Preferred Qualifications

PhD in a quantitative field, including Computer Science, Mathematics, Statistics, Physics, etc.

## Description

We are looking for an exceptional Machine Learning Engineer to help us design, build, and ship recommendation models that power personalization across the App Store. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to partner with researchers to see cutting-edge AI models deployed reliably at Apple's truly incredible global scale.

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.