Machine Learning Engineer - Product Marketing Customer Analytics
Description For Machine Learning Engineer - Product Marketing Customer Analytics
Apple's Product Marketing Customer Analytics team is seeking an experienced Machine Learning Engineer to drive predictive analytics initiatives. This role combines deep technical expertise with business impact, supporting Product Marketing, Investor Relations, and the Executive Team. The position offers an opportunity to work with cutting-edge ML technologies and high-volume datasets, developing solutions that directly influence customer engagement and product strategy.
The role involves building end-to-end machine learning pipelines, from feature engineering to model serving, utilizing advanced MLOps frameworks and distributed computing environments. You'll work with both GPU clusters and distributed CPU environments to tackle complex analytical challenges and deliver actionable insights to leadership.
As a Machine Learning Engineer, you'll be responsible for developing scalable algorithms, optimizing deep learning solutions, and managing ML projects through all phases. The position requires collaboration with data engineers and cross-functional teams to implement robust solutions and operationalize models.
The compensation package includes a competitive base salary range of $207,800 to $312,200, plus opportunities for equity through stock programs and discretionary bonuses. Apple offers comprehensive benefits including medical and dental coverage, retirement benefits, educational reimbursement, and employee stock purchase options.
This role is perfect for someone who combines technical excellence with strong communication skills, as you'll be explaining complex technical concepts to both technical peers and business stakeholders. The ideal candidate will thrive in a fast-paced environment, handling ambiguous data and changing priorities while maintaining high standards of technical excellence.
Responsibilities For Machine Learning Engineer - Product Marketing Customer Analytics
- Support Product Marketing, Investor Relations, and Executive Team with predictive analytics
- Translate product requirements into modeling and engineering tasks
- Develop scalable ML algorithms and models for customer behavior analysis
- Design and implement end-to-end machine learning pipelines
- Develop and optimize deep learning solutions on high-volume datasets
- Manage ML projects through all phases including data quality and deployment
- Build and prototype analysis pipelines for insights at scale
- Collaborate with data engineers for robust solutions
- Enhance and evolve solutions to meet changing business needs
Requirements For Machine Learning Engineer - Product Marketing Customer Analytics
- 8+ years of hands-on programming skills for large-scale data processing
- Graduate degree in Computer Science, Statistics, Data Mining, Machine Learning, or related field
- Experience with deep learning frameworks (Tensorflow, PyTorch)
- Knowledge of distributed systems (Spark, Kubernetes, GPU clusters)
- Database expertise (Oracle, Hadoop, SnowFlake)
- Strong communication skills
- Experience with cross-functional partnership
- Expertise in analytical methods and machine learning algorithms
- Experience building and scaling predictive models
Benefits For Machine Learning Engineer - Product Marketing Customer Analytics
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee Stock Purchase Plan
- Educational expense reimbursement
- Discretionary restricted stock unit awards
- Discretionary bonuses
- Relocation benefits
- Discounted products and free services
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