AIML - Machine Learning Engineer, Forecasting

Key Skills

Deep Learning, Forecasting, Google-Analytics, Intellectually curious, creative, and diligent, Machine learning techniques, Pivotal Tracker

Job Description

Do you want to innovate Machine Learning solutions to transform Apple product’s lifecycle to the next level? The Data and Machine Learning Innovation team is looking into innovative ways to forecast key business indicators and optimization throughout the end-to-end product lifecycle. We are a R&D team with strong expertise in Machine Learning, Operations Research, and Data Engineering. The team works broadly with Finance, Sales, Operations and Marketing to advance capabilities in forecasting and supply chain optimization with innovative ML and Deep Learning techniques and applications.

As part of our team, you will work together with domain experts in finance, econometrics and supply chain operations where your skills and expertise will impact decisions that optimize Apple’s business. This role is highly multi-disciplinary and you will collaborate closely with top notch engineers to build end-to-end ML applications.

Key Qualifications

• 2+ years industry experience with building machine learning models at production quality
• In-depth understanding about deep learning, ML evaluation and explainability, research experience in sequential models or forecasting models are preferred
• Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes
• Good communication skills and courage to change business processes
• Intellectual curiosity, versatility and track record in the field of Forecasting and Machine Learning
• Background in supply chain planning or optimization is a plus

Description

You will have the unique opportunity to use innovative techniques from ML and Deep Learning to develop accurate forecasting models and supply chain optimization systems. Your work is particularly exciting as it will impact Apple's business planning. Strong candidates with backgrounds in Deep Learning and forecasting skills are encouraged to apply.

Education & Experience

MS or PhD in Computer Science, Mathematics, Statistics, Machine Learning, or equivalent.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.