AIML - ML Research Engineer, Forecasting Foundation Models

Summary
We are a group of innovative researchers and engineers dedicated to fundamentally increase Apple's business success across Finance, Sales, and Operations with Deep Learning technologies and innovations. We build foundation models to forecast critical business and financial metrics that drive optimization for top line as well as bottom line growth.

Are you a Research Engineer who is passionate about building algorithms and systems to advance Multi-horizon Demand Forecasting, Generative Sales Strategies, Generative Supply Planning, and Holistic Optimization to the next level? As part of the team, you'll play a pivotal role in redefining Apple's product lifecycle and business decision-making through novel Deep Learning research pursuits. This role presents outstanding opportunities to innovate in Forecasting Foundation Models, Multi-modal Learning, Sequential Recommendation Learning, Explainable ML and Reinforcement Learning. Through working with extraordinary domain experts from Finance, Sales, Operations, and Operations Research engineers you'll make significant impacts on Apple's core businesses.



Description
Your contributions will have extensive and direct monetary impact on Apple by transplanting groundbreaking deep learning models into explainable and tangible business solutions. You will closely work with outstanding engineers and researchers to solve some of the most ambitious problems: AI-Generated Financial Optionality, Foundation Models for demand forecasting, Reinforcement Learning with knowledge distillation, and Explainable Deep Learning.

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