Apple's Online Retail Decision Automation team is looking to research and develop the next generation of algorithms to drive the Apple Online experience, aiming to deliver a magical, personal digital experience for customers.
Requirements
- Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and 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
- 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.
- Skilled in communication, problem solving, critical thinking.
- Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience.
- PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).
