To deliver a magical, personal digital experience for Apple's customers through the Apple Online Store, by developing the next generation of algorithms used to drive the Apple Online experience, including product search, recommendation systems, personalization, Generative AI, and optimizing Apple-wide systems & infrastructure.
Requirements
- Proficiency in one or more object-oriented programming languages such as Python, Java, C++
- Experience building distributed systems
- Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
- Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
- Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
- Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Responsibilities
- Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.
- Give to the ongoing improvement of our ML infrastructure and tooling.
- Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering
- Mentor junior MLEs on the team to ensure best practices are followed
Other
- Bachelor's degree in Computer Science, Statistics, Mathematics with equivalent experience.
- 5+ years of related experience building high throughput scalable applications or building machine learning models.
- Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output.
- PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
