Engineering Program Manager, Annotation & Evaluation

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground\-breaking intelligent experiences to be made?

The annotation team enables internal product teams, data scientists and ML engineers through technologies that combine the latest in ML innovation and deep integration with Apple infrastructure. We’re looking for a strong Engineering Program Manager with a proven track record of building and maintaining complex software platforms, tools and processes that deliver new end\-to\-end experiences that delight customers.

Description

You will partner with engineering teams to deliver the technology that powers Apple’s ML feature development, all while contributing to a positive work culture. Apple’s annotation teams build the tools that allow machine learning engineers and researchers across Apple to create datasets that enable the amazing intelligent experiences on our current and future Apple devices. This role requires technical depth in complex system architecture with strong program management expertise to drive data generation that enables the comprehensive assessment of model capabilities, safety, helpfulness, and user experience quality.","responsibilities":"Build relationships and collaborate with stakeholder organisations relevant for a project

Provide clear, timely and objective communication, including regular program status updates and critical issues as needed to executive team

Coordinate discussions and break down complex issues into discussion topics to drive engineering and design alignment with support from project team, maintaining an orientation toward teamwork and collaboration

Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status. Manage risks and mitigations, and re\-plan as events warrant. Drive alignment across the organisation and between teams

Drive on\-time delivery and deployment, identifying development and feasibility needs, establishing achievements for checkpoints and status updates

Proactively identify issues and solutions, and marshal resources vital to attack and resolve. Coordinate with teams to identify issues, prioritise tasks and track risks to schedule and product quality, including cross\-functional dependencies

Preferred Qualifications

Experience in orchestrating the delivery of multiple significant software products requiring large organisations (100\+) to execute

Solid knowledge of technical system architecture and systems design tradeoffs, and thorough understanding of testing, build and release processes for complex software

Solid understanding of the machine learning life cycle, data annotation and human\-in\-the\-loop model evaluation

Master's degree in Statistics, Machine Learning, Computer Science, other Quantitative Sciences, or related field and equivalent experience

Minimum Qualifications

Excellent project management skills including project structuring and managing multiple work streams interdependently

Solid understanding of technical system architecture, systems design tradeoffs, and development and release pipelines for complex software

Self\-motivated and dedicated with demonstrated creative and critical thinking capabilities

Ability to communicate abstract ideas clearly and independently manage complex project objectives

Diese Anzeige stammt von indeed. Originalanzeige ansehen ↗