Machine Learning Engineer, Retail Engineering

Design, develop, Implement and improve machine learning models and software for Apple Retail stores using state-of-the-art technologies with hyper-parameter optimization algorithms. Lead a team of analysts to build a monitoring pipeline for 500+ Apple store telemetry and analytics. Provide detailed analysis and insights to identify trends and opportunities to drive improvements in core KPIs. Help on-boarding team members to facilitate an easy transition into the team and speed up the initial development phase. Minimum Qualifications A background in computer science, engineering, data science, applied mathematics, or equivalent. Knowledgeable with an object-oriented programming language, such as Python, Swift, Objective C or Java. Hands-on experience with ML libraries like TensorFlow, PyTorch, CoreFlow, Sklearn, etc. Strong mathematical skills in linear algebra and statistics. Bachelor and/or MS in Computer Science, Data Analytics, or comparable degree Preferred Qualifications Experience with integrating research prototypes into production applications. Ability to work in a collaborative environment. Practical knowledge of building and adapting algorithms for machine learning, computer vision, or related areas. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr