Apple Media Products - Senior Machine Learning Research Engineer (Graph)

Barcelona, Barcelona, Spain
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200373805
The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.

Key Qualifications

  • Experience working with big data and horizontably scalable solutions.
  • Experience working with Knowledge Graphs and semantic web technologies.
  • Experience working with NLP models as well as Graph-Embeddings.
  • Work-experience in analyzing complex problems and crafting and building highly scalable, robust and efficient solutions.
  • Experience in project- and team-management in rapid environments with shifting priorities.
  • Excellent programming skills, computational complexity knowledge and computer architecture awareness.

Description

The AMP AI&ML team is responsible for Search, Recommendations & Commerce AI across our flagship services as Music, TV,+ Books, Arcade, Podcasts and more. We're building an AI-based system that is capable of achieving a profound understanding of the content and settings of a video by leveraging present and historic real-world knowledge, state-of-the-art DL recognition models and powerful NLP and graph algorithms. The main objective of this role is to build and implement tools to grow and maintain a Knowledge Graph, including processes for data ingestion, validation, and inference. You will be working with teams outside your own to integrate data and provide tools to query and extract relevant information, as well as teams inside to assist with data, technology usage and distributed algorithms.

Education & Experience

BS, MS or PHD degree in Computer Science, Computer Engineering, related technical field or equivalent meaningful experience.

Additional Requirements

  • Strong verbal and written communication skills with the ability to influence and build consensus in a collaborative way.
  • Work-experience with big data technologies.
  • Work-experience with Knowledge Graphs.
  • Work-experience with complex microservice architectures.
  • Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.