Machine Learning Engineer, Apple Services Engineering

What you'll do

• Design and maintain scalable machine learning pipelines for personalization models.
• Transition prototype models into production-ready systems with ML researchers.
• Optimize model inference to ensure low latency and high throughput globally.
• Implement monitoring and A/B testing frameworks for model quality assurance.
• Drive engineering best practices, system architecture, and code quality in team.

What we're looking for

• 7+ years of relevant work experience in software engineering and machine learning.
• Strong background in building, scaling, and deploying large-scale ML models and recommendation systems.
• Proficiency with Python AI/ML tech stack including PyTorch, scikit-learn, numpy, scipy, and pandas.
• Expertise in big data technologies such as Spark, Hadoop, Kafka for data processing pipelines.
• Experience in optimizing model inference for low latency and high throughput in production environments.
• Solid understanding of machine learning algorithms, deep learning, and generative AI tools.
• Strong communication skills with a collaborative mindset for working on multi-disciplinary teams.