AIML - ML Research Engineer, Forecasting Foundation Models
Description For AIML - ML Research Engineer, Forecasting Foundation Models
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!
As an AIML - ML Research Engineer focusing on Forecasting Foundation Models, 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.
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.
You'll work with extraordinary domain experts from Finance, Sales, Operations, and Operations Research engineers to make significant impacts on Apple's core businesses. This role offers the chance to apply cutting-edge machine learning techniques to real-world problems at one of the world's most influential tech companies.
Responsibilities For AIML - ML Research Engineer, Forecasting Foundation Models
- Build foundation models to forecast critical business and financial metrics
- Innovate in Forecasting Foundation Models, Multi-modal Learning, Sequential Recommendation Learning, Explainable ML and Reinforcement Learning
- Transplant groundbreaking deep learning models into explainable and tangible business solutions
- Work on AI-Generated Financial Optionality, Foundation Models for demand forecasting, Reinforcement Learning with knowledge distillation, and Explainable Deep Learning
- Collaborate with domain experts from Finance, Sales, Operations, and Operations Research engineers
Requirements For AIML - ML Research Engineer, Forecasting Foundation Models
- Demonstrated expertise in deep learning with a proven publication record in reputable conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech. Or a track record applying deep learning techniques to real-world problems
- Proficient programming skills in Python and hands-on experience with at least one of the toolkits for Deep Learning, such as JAX, PyTorch, or Tensorflow
- In-depth experience in relevant areas such as Quantitative Trading, Foundation Models (e.g. LLMs), Sequential Representation Learning, and Generative AI
- Sound business intuitions, adaptive mentality and the courage to change established business processes
- 5+ years of industrial experience in the Deep Learning or Quantitative Research space
Benefits For AIML - ML Research Engineer, Forecasting Foundation Models
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Tuition reimbursement for formal education related to advancing career at Apple
- Opportunity to become an Apple shareholder through discretionary employee stock programs
- Employee Stock Purchase Plan
- Potential eligibility for discretionary bonuses or commission payments
- Potential eligibility for relocation assistance
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