Apple
Machine Learning Engineer, Apple Services Engineering
$142K–$263K
Seattle, Washington · Full-time · Posted Oct 9, 2026
- Experience
- 3+ years of relevant work experience.
- Education
- Bachelor's and Master's in a quantitative field; PhD preferred.
About the job
Design, train, and deploy recommendation models that personalize App Store experiences at global scale.
What you'll do
- Build and launch recommendation models to improve relevance and business metrics across App Store surfaces.
- Own ranking modules end-to-end, including features, model architecture, evaluation, experimentation, and production monitoring.
- Partner with research and engineering teams to productionize ranking techniques reliably and with low latency.
What they ask for
- Bachelor's and Master's in a quantitative field.
- Hands-on experience with production-level recommender systems and a track record of shipping models at scale.
- Deep knowledge of recommendation systems, especially deep-learning architectures and multi-task modeling.
- Proficiency with the Python ML/AI stack; familiarity with big-data and distributed-computing technologies.
Nice to have
- PhD in a quantitative field.
Pay
$142,300 and $263,300 (base salary range)
Tools
Python, TensorFlow, PyTorch, scikit-learn, numpy-scipy-pandas, Spark, Hadoop, Kafka
AI focus
Develop and deploy recommendation and ranking models, including deep-learning, multi-task, sequence, transformer-based, and generative approaches; use LLM-powered coding and research assistants in workflows.
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