Retail ML Engineer: Telemetry & Insights Leader

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 Tensor Flow, PyTorch, Core Flow, 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.

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