Machine Learning Engineer

Apple is seeking a passionate and highly motivated Machine Learning Engineer to join their Apple Store Online team. This role will lead the Online Retail Decision Automation team, developing next-generation algorithms to drive the Apple Online experience. The position involves working on product search, recommendation systems, personalization, Generative AI, and optimizing Apple-wide systems & infrastructure.

Key responsibilities include:

• Collaborating with cross-functional teams to develop and implement machine learning algorithms
• Building scalable, production-ready ML solutions from concept to deployment
• Contributing to the improvement of ML infrastructure and tooling
• Staying up-to-date with the latest advances in machine learning and software engineering

The ideal candidate will have:

• 3+ years of experience in building high-throughput scalable applications or machine learning models
• Proficiency in object-oriented programming languages like Python, Java, or C++
• Experience with big data technologies such as Spark, SQL, Snowflake/Hadoop
• Strong communication, problem-solving, and strategic thinking skills

Preferred qualifications include:

• Ph.D. or Master's in a quantitative field or equivalent professional experience
• Experience in Recommender Systems, Personalization, Search, Computational Advertising, or NLP including RAG-based Generative AI
• Knowledge of Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning
• Familiarity with Spark, TensorFlow, Keras, and PyTorch

This role offers the opportunity to work on projects that will impact millions of Apple customers daily, in a diverse and inclusive environment where innovation is encouraged.