Machine Learning Engineer - Product Marketing Customer Analytics

A technology company that creates excellent products, services, and customer experiences.
$207,800 - $312,200
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

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. You'll develop scalable ML algorithms, implement end-to-end pipelines, and work with cutting-edge technologies to derive actionable insights from customer behavior. The position offers competitive compensation ($207,800-$312,200), comprehensive benefits, and stock options. You'll work with advanced ML frameworks, distributed systems, and have the opportunity to influence product decisions through data-driven insights. The ideal candidate brings 8+ years of experience, strong technical skills, and the ability to communicate complex concepts to diverse stakeholders. This role presents an exciting opportunity to impact product strategy at one of the world's most innovative technology companies.

Last updated 2 months ago

Responsibilities For Machine Learning Engineer - Product Marketing Customer Analytics

  • Support Product Marketing, Investor Relations, and Executive Team with predictive analytics
  • Develop scalable ML algorithms and models to understand customer behavior
  • 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
  • Partner with peers to build and prototype analysis pipelines
  • Collaborate with data engineers and infrastructure partners

Requirements For Machine Learning Engineer - Product Marketing Customer Analytics

Python
Kubernetes
  • Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field
  • 8+ years of hands-on programming skills for large-scale data processing
  • Excellent understanding of analytical methods and machine learning algorithms
  • Experience with deep learning frameworks (Tensorflow, PyTorch)
  • Strong communication skills
  • Technical database and data modeling knowledge

Benefits For Machine Learning Engineer - Product Marketing Customer Analytics

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan
  • Discretionary bonuses
  • Relocation benefits

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