Apple
Machine Learning Engineer - Product Marketing Customer Analytics
$216K–$325K
Cupertino, California · Full-time · Posted Jan 23, 2025
- Experience
- 8+ years of hands-on programming skills for large-scale data processing; preferred qualifications also ask for 8+ years building and scaling predictive models across distributed systems.
- Education
- Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
About the job
Build and operate machine-learning pipelines and predictive analytics that help Apple teams understand customer product and services engagement.
What you'll do
- Develop scalable ML models and provide actionable customer-behavior insights and recommendations.
- Design end-to-end ML pipelines, from feature engineering through model serving, deployment, and maintenance.
- Partner with data and infrastructure teams to operationalize and optimize models at scale.
What they ask for
- 8+ years of hands-on programming for large-scale data processing.
- Graduate degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or a related field.
Nice to have
- 8+ years building and scaling predictive models across distributed systems and production model hosting.
- Experience with Python and/or Spark, Tensorflow or PyTorch, MLOps, databases, and production ML pipelines.
Pay
$216,200 and $324,800 (base salary)
Tools
Spark, Kubernetes, GPU clusters, Python, Tensorflow, PyTorch, Oracle, Hadoop
AI focus
Develop predictive analytics and machine-learning models for customer engagement; build and operate scalable ML pipelines, including deep learning and traditional ML solutions.
Model-written summary · the original posting is authoritative