AIML - ML Research Engineer, Forecasting Foundation Models
Seattle, Washington, United States
Machine Learning and AI
We are a group of innovative researchers and engineers at the forefront of using deep learning to revolutionize high-impact business problems such as Holistic Demand Forecasting, AI-Generated Optionality on sales strategies, supply-demand planning, and financial optimization.
As part of our team, you will play a pivotal role in redefining Apple’s product lifecycle, Finance, Sales and Operations through groundbreaking research in deep learning. This role also presents outstanding opportunities to innovate in multi-modal learning, reinforcement learning, sequential models, causal inference modeling, and explainable ML. By collaborating with world-class domain experts from Finance, Sales, Operations as well as top-notch Economists, Engineers and Analysts, our team makes meaningful improvements to the core of Apple's business. Does this sounds exciting? Come join us!
Description
Your contributions will have direct monetary impact on Apple’s business by translating pioneering deep learning models into explainable and tangible business solutions. We collaborate with outstanding engineers and researches 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.
Minimum Qualifications
Key Qualifications
- Demonstrated expertise in deep learning with a proven publication record in reputable conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech, or a track record in applying deep learning techniques to real-world problems
- Proficient programming skills in Python and hands-on experience with at least one of the primary deep learning toolkits, such as JAX, PyTorch, or Tensorflow
- In-depth experience in relevant areas such as Multi-modal Learning, Reinforcement Learning, Foundation Models (e.g., LLMs), Forecasting, Knowledge Distillation, and Explainable ML, etc.
- Strong business intuition, adaptive demeanor, and courage to improve established business processes
Preferred Qualifications
Education & Experience
Ph.D. experience in Computer Science, Machine Learning, Mathematics or an equivalent field, or 5+ years of industrial experience in the Deep Learning space
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.