Job Description

The Product Marketing Customer Analytics team at Apple is seeking a Machine Learning Engineer to support predictive analytics for customer engagement, translating product requirements into modeling tasks, developing scalable ML algorithms, and collaborating with cross-functional teams to provide actionable insights.

Requirements

8+ years of hands-on programming skills for large-scale data processing
Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field
Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, and optimization
8+ years of proven experience building and scaling predictive models across distributed systems
8+ years of hands-on programming skills (Python, and/or Spark)
Comfortable with advanced deep learning frameworks (Tensorflow, PyTorch)
Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake)
Able to work effectively on ambiguous data in a fast-changing environment
Strong communication skills to explain complex technical topics to both technical and non-technical stakeholders
Demonstrated success in partnering cross-functionally

Responsibilities

Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics
Translate product requirements into modeling and engineering tasks
Develop scalable ML algorithms and models to understand customer behavior
Design and implement end-to-end machine learning pipelines
Experiment with cutting-edge algorithms to provide advanced insights
Manage ML projects through all phases including data quality and deployment
Tackle non-routine analysis/prediction problems using advanced ML methods
Collaborate with data engineers to implement robust solutions
Enhance and evolve solutions to meet changing business needs