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 Machine Learning EPM, Ad Platforms - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200229617 / Latpro-3778079 
Date posted: Mar-11-2021
State, Zip: California, 95014

Description

Machine Learning EPM, Ad Platforms

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Mar 11, 2021

Weekly Hours: 40

Role Number: 200229617

At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms 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 privacy! Our Engineering Project Management team is looking for a highly-functioning, self-driven, and versatile senior EPM who can drive complex projects that are key to our products performance and business growth. As part of the EPM team, you will own delivery responsibilities on projects that seek to build out scalable platforms and reliable systems that service core applications, while at the same time adhering to the highest levels of privacy and security that Apple holds. You will be responsible for working through project dependencies, risks, and deliver measurable outcomes against timelines in a fast-paced environment. You will have the opportunity to collaborate closely with engineers and architects to define, refine, and/or refactor approaches, designs, and architectures, and apply relevant prior experiences to address new and exciting challenges that face the organization in the future. You will also partner cross-functionally with other EPMs, engineering teams, product managers, and business operations to drive projects to successful completion.

Key Qualifications

  • Minimum of 5 years of project experiences with scalable platforms and resilient architectures. Experiences with machine learning platforms, low latency architectures and cloud architectures is strongly preferred
  • 5 + years in roles such as a Technical Project Manager, Technical Product Owner, Engineering Manager, and/or Solution Architect in a relevant field. Consulting experiences is a plus but not required
  • Experiences in a cross-functional role
  • Passionate about project delivery and outcomes!
  • Clear and effective communicator, who enjoys collaborative problem solving

Description

- Own the project planning, delivery, work breakdowns, resource planning, and day-to-day project management using suitable methodologies - Apply knowledge of our architectures to plan, drive, and deliver key initiatives including, but not limited to, ML platforms and serving architectures - Partner with EPM, engineering, and Product teams to identify product and technical requirements, and lead our team through dependencies and delivery milestones - Work closely with our engineering management team to form quarterly plans that contribute towards overall technology direction - Negotiate the sequencing and timing of delivery with technology leadership, Product, and engineering teams - Develop and implement communication strategies for advising the Ad Platforms organization of critical updates, their timing, impacts, and success and failure - Understand and articulate delivery impact to stakeholders such as end consumers, the business, and other Apple teams - Apply knowledge from prior experiences with Agile projects and programs to the execution of your projects

Education & Experience

Bachelors, Masters, or equivalent professional experience in Computer Science, Distributed Systems, Software Engineering, or related field



Requirements

See job description

 

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