AIML - ML Research Engineer, Forecasting Foundation Models

$175,800 - $264,200/Yr

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Research Engineer role at Apple focuses on leveraging Deep Learning technologies to enhance business success across Finance, Sales, and Operations. The position involves developing foundation models for forecasting critical business metrics, thereby driving optimization for both top-line and bottom-line growth. The role offers opportunities to innovate in areas such as Multi-horizon Demand Forecasting, Generative Sales Strategies, and Explainable Machine Learning, contributing significantly to Apple's product lifecycle and business decision-making.

Responsibilities

• Develop algorithms and systems for Multi-horizon Demand Forecasting and Generative Sales Strategies.
• Create foundation models to forecast critical business and financial metrics.
• Collaborate with domain experts from Finance, Sales, and Operations to implement deep learning models into business solutions.
• Innovate in areas such as Explainable ML and Reinforcement Learning.
• Work on AI-Generated Financial Optionality and knowledge distillation.

Requirements

• Demonstrated expertise in deep learning with a proven publication record in reputable conferences.
• Proficient programming skills in Python and experience with deep learning toolkits like JAX, PyTorch, or Tensorflow.
• In-depth experience in Quantitative Trading, Foundation Models, and Generative AI.
• 5+ years of industrial experience in Deep Learning or Quantitative Research.

Nice-to-haves

• PhD or equivalent experience in Computer Science, Machine Learning, or Mathematics.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance