ML Engineering Program Manager, Apple Ads

At Apple we work every day to create products that enrich peoples lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our platforms are highly performant deployed at scale and set new standards for enabling effective advertising while protecting user Apple Ads EPM team is looking for an ML-focused EPM to drive initiatives that focus on building and scaling machine learning platforms. You will work closely with engineers and product managers to drive roadmaps navigate dependencies mitigate risks and meet ambitious timelines. Your role is highly cross-functional and will bridge bringing teams together to launch exciting products..n

You will be part of an engineering organization that is highly tuned towards delivering strategic outcomes for the business. You will lead project planning prioritization and execution of machine learning initiatives that are central to business growth.

Plan drive prioritize and deliver against a key roadmap that builds ML frameworks and project planning delivery work breakdowns resource planning and day-to-day project management using suitable closely with technology leadership to form strategic plans and contribute towards defining overall technology the sequencing and timing of releases and launches with other engineering and product teams. Assess delivery risks propose effective mitigation paths and identify critical trade-off and implement communication strategies for keeping stakeholders up-to-date on progress and and execute quarterly planning for engineering teams assisting with prioritization efforts to align engineering efforts against the top priorities of the organization.

5 years of leading projects related to AI/ML systems. Experiences with low latency architectures cloud platforms and/or data-driven solutions is preferred.n3 years leading engineering roadmaps planning and execution across multiple engineering experience delivering platforms in cloud or hybrid environments with a focus on scale performance and written and verbal communication skills. Ability to clearly articulate technical concepts and communicate with engineering product and leadership partners.

Deep understanding of AI/ML workflows and algorithmic managing projects involving distributed systems large-scale cloud architectures and performance marketing managing software projects focused on building and scaling platforms.