About The Position

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 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? If so, 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.

Requirements

  • Experience in Anomaly detection and forecasting & related methodologies.
  • Experience and proficiency in Python & writing efficient SQLs.
  • Strong coding and software engineering skills.
  • 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.

Nice To Haves

  • Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker.

Responsibilities

  • Engage directly with key business partners to understand business strategies and solution needs.
  • Drive and lead functional & technical discussions with development teams.
  • Design and own end to end applications.
  • Build intelligent systems to democratize AI across a wide range of solutions within Apple.
  • Drive the development and deployment of innovative 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, hyper-parameter tuning, and model evaluation.
  • Implement advanced model compression and optimization techniques.

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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