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Software Engineer (AML), Ai & Data Platforms

Apple

$147,400 - $272,100
Nov 6, 2025
Sunnyvale, CA, US
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Apple's AI & Data Platform (AiDP) team is seeking a Software Engineer to work on building and scaling best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple.

Requirements

  • 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Knowledge with the common frameworks and tools such as PyTorch or TensorFlow.
  • Experience in Anomaly detection and forecasting & related methodologies
  • Experience and proficiency in python & writing efficient SQLs.
  • Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
  • Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus

Responsibilities

  • work on building intelligent systems to democratize AI across a wide range of solutions within Apple.
  • drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services.
  • implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments.
  • develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains.
  • design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration.
  • implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.

Other

  • A passion for product ownership and track record will prove critical to success on our team.
  • Be ready to make something extraordinary when here.
  • Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple.
  • Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis?
  • You will enjoy the benefits of working in a fast growing business where you are inspired to "Think Different" and where your efforts play a key role in the success of Apple's business.