Machine Learning Engineer, AI & Data Platform

A technology company that crafts revolutionary products and services across multiple industries.
$175,800 - $312,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer, AI & Data Platform

Apple is seeking a Machine Learning Engineer to join their AI & Data Platform (AiDP) team, focusing on empowering Apple's business groups with cutting-edge ML, data, and analytics solutions. This role offers an exceptional opportunity to work on state-of-the-art AI systems that directly impact Apple's products and services across Retail, iTunes, Marketing, and more.

The position involves building intelligent systems to democratize AI, implementing robust ML infrastructure, and developing novel frameworks for optimal performance. You'll work on automated ML pipelines, model compression, and optimization techniques while collaborating with multi-functional teams in a fast-paced environment.

With a competitive base salary range of $175,800 to $312,200, plus additional benefits including stock options, comprehensive healthcare, and education reimbursement, this role offers excellent compensation. The ideal candidate will have 4+ years of ML engineering experience and strong expertise in Python/Java, with specific experience in NLP and GenAI frameworks.

At Apple, you'll be part of a company that values innovation, diversity, and making a positive impact on the world. This role provides the opportunity to work on transformative AI technologies while contributing to products and services used by millions globally. The position is based in Sunnyvale, offering the chance to work alongside some of the industry's best talents in AI and machine learning.

Last updated 2 hours ago

Responsibilities For Machine Learning Engineer, AI & Data Platform

  • Drive the development and deployment of state-of-the-art AI models and systems
  • Implement robust, scalable ML infrastructure, including data storage, processing, and model serving components
  • Develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks
  • Design and implement automated ML pipelines for data preprocessing, feature engineering, model training
  • Implement advanced model compression and optimization techniques

Requirements For Machine Learning Engineer, AI & Data Platform

Python
Java
Kubernetes
  • Strong proficiency in programming languages like Java or Python
  • Solid understanding of Data Structures and Algorithms
  • 4+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management
  • 2+ years experience working with NLP and GenAI frameworks (LangChain, LlamaIndex, etc.)
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes)

Benefits For Machine Learning Engineer, AI & Data Platform

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on products

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