AIML - Machine Learning Engineer, Operations Research

Key Skills

Algorithms, Analytical and Problem solving, Applied Machine Learning, Applied Statistics, Gurobi, IBM CPLEX, Integer Programming, Linear Programming, Stochastic models

Job Description

Do you want to innovate on Operations Research and Machine Learning solutions to transform Apple products 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 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/OR 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 optimizes Apples business. This role is highly multi-disciplinary and you will collaborate closely with top notch engineers to build end-to-end ML/OR applications.

Key Qualifications

• 2+ years experience of building Operations Research applications.
• Deep understanding of Linear Programming, Integer Programming, and Stochastic Optimization.
• Being proficient in solving LP/IP problems using Gurobi/CPLEX/OR-Tools.
• In-depth knowledge about machine learning and statistical algorithms, especially forecasting algorithms.
• Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes
• Good communication skills and courage to change business.
• Intellectual curiosity, versatility and track record in the field of Operations Research 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 OR and ML to develop accurate forecasting models and supply chain optimization systems. Your work is particularly exciting as it will impact Apple business planning. Strong candidates operations research and machine learning skills are encouraged to apply.

Education & Experience

MS or PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, 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.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. You also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.