Jobfoundry
Jobfoundry
Apple

Machine Learning Engineer, Data Model - WW CSO

Apple
TechnologySingaporeOnsitePosted 9 months ago
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About the role

AI summarised

We are seeking an outstanding Senior Machine Learning Engineer to develop advanced predictive modeling and build AI-driven personalization systems that enhance user experiences at scale. This role involves applying innovative ML techniques, Generative AI, and Causal Inference Models to extract meaningful insights from large-scale customer, market, and sales data.

TechnologyOnsiteMachine Learning and AI

Key Responsibilities

  • Deploy predictive models to generate actionable insights for business strategy and decision-making.
  • Develop AI-driven personalization that provides tailored suggestions based on customer behavior, preferences, and historical data.
  • Leverage user segmentation and clustering to enhance personalization precision for different customer groups.
  • Experiment with multi-modal data (text, images, customer interactions) to improve personalization.
  • Build real-time personalization pipelines that can dynamically adjust based on live user interactions.
  • Lead the exploration for predictive modeling of Large Language Models and Generative AI, Causal Inference Model, GNN.
  • Turn prototypes into automated pipelines and deploying them to production.
  • Analyze and preprocess large scale datasets to extract meaningful patterns and ensure model accuracy.

Requirements

  • 5+ years of professional experience in building and deploying predictive models and AI-driven personalization at scale.
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; OR M.S. in related field with 3+ years experience applying machine learning to real business problems.
  • Proven expertise in data preprocessing, feature engineering, and analyzing large datasets to extract meaningful patterns.
  • Strong knowledge of state-of-the-art ML algorithms, including Generative AI and Multi-modal LLMs.
  • Solid understanding of insight modeling (Causal Inference Model, GNN, Generative AI, Forecasting).
  • Proficiency in Python and key ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn).
  • Track record of deploying ML models into production and optimizing for performance and scalability.