AIML - Manager, Data Collections

Apple's AIML Data Operations team is seeking a Manager for Data Collections to lead their dynamic and fast-paced environment. This role sits at the intersection of data operations, machine learning, and team leadership, working across Apple's ecosystem to deliver high-quality data for ML algorithm development.

The position requires a proven leader who can thrive in a fast-paced environment where both individual drive and team collaboration are essential. You'll be responsible for deploying scalable data collection pipelines in production, working closely with engineering and annotation teams. Your role will involve comprehensive project management, including planning and tracking delivery timelines, providing technical expertise, and ensuring dataset quality meets customer expectations.

As a manager, you'll oversee critical operational responsibilities including workflow management, process improvement, and operations health review. You'll be responsible for monthly volume forecasting, capacity planning, and vendor management. The role requires exceptional stakeholder management skills, as you'll regularly engage with various teams to clarify requirements, discuss edge cases, and gather quality feedback for new data collections.

The ideal candidate brings 8+ years of industry experience, with a strong background in delivering quality data within project timelines. You should be adept at coaching and motivating teams, with proven experience in client management and leading multi-functional activities. The role offers a competitive compensation package ranging from $173,100 to $301,400, along with comprehensive benefits including medical coverage, stock options, and educational reimbursement.

This is an excellent opportunity for a strategic thinker who can see the big picture while working with ambiguity, has strong technical problem-solving abilities, and can drive process improvement and automation. You'll be joining Apple's cutting-edge Machine Learning and AI team, contributing to groundbreaking technological advancements while leading and developing a crucial team.