Join Our Innovative Team as an AIML - Applied ML Researcher in Econometrics & Forecasting at Apple

Summary: Posted: May 16, 2024 | Weekly Hours: 40 | Role Number: 200543212

At Apple, we are a team of pioneering researchers and engineers, leading the charge in enhancing business planning through advanced market, sales, and supply chain optimizations. Our mission is to leverage interdisciplinary innovations to generate strategic value and drive Apple’s topline impact. We are inviting you to be a crucial part of our team, where you will employ econometric, statistical, and machine learning methodologies across Apple’s product lifecycle in Finance, Sales, and Operations. Collaborate with elite domain experts and deep-learning researchers, enhancing business success with your diverse perspectives from economics and statistics. Excited? We’d love to have you on board!

Key Qualifications

• Demonstrated expertise and a robust portfolio in one or more areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization, or decision-making theory.
• Advanced proficiency in Python/R and familiarity with mainstream Machine Learning or statistical frameworks.
• Proven experience in optimization methodologies such as linear programming and reinforcement learning.
• Solid background in Causal Inference and Economic models, particularly in Finance, Retail, or Supply Chain.
• Deep knowledge in Deep Learning and explainable ML is an advantageous plus.
• Strong business insight, adaptable approach, and the courage to enhance established business processes.

Role Description

As an AIML - Applied ML Researcher, your contributions will profoundly impact Apple’s financial outcomes by blending econometrics and causal inference with deep learning models to develop optimized, explainable business solutions. You will work alongside exceptional engineers and researchers to address core business challenges such as Sales Optionality, Demand Forecasting, Supply Chain Optimization, and Pricing Optimization.

Education & Experience

Applicants should have a Ph.D. in Statistics, Econometrics, Operations Research, Machine Learning, Mathematics, or a related field, or possess over 3 years of industrial experience in Economic Modeling, Operations Research, or Machine Learning.

Compensation & Benefits

Apple offers a competitive compensation package with a salary range from $131,500.00 to $198,100.00, based on skills, qualifications, and experience. Benefits include comprehensive medical and dental coverage, retirement benefits, employee stock purchase plans, discounted products, free services, and tuition reimbursement for education related to career advancement at Apple. This role may also be eligible for discretionary bonuses or commission payments, as well as relocation support.

Apple is committed to diversity and inclusion. We are an equal opportunity employer and take affirmative action to ensure equal opportunity for all applicants, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Additional Information: Job Title: AIML - Applied ML Researcher, Econometrics & Forecasting | Company Name: Apple

Are you ready to impact the world of technology and business? Apply today and be part of Apple’s future.