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AIML - Sr Engineering Program Manager, Machine Learning FM

Company: The Learning Experience #398
Location: Seattle
Posted on: July 9, 2024

Job Description:

Summary Posted: Jun 25, 2024 Role Number:200556765 Home Office: Yes Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide. They will be managing and coordinating projects with vendors, annotation platform teams, legal, finance, and partner data scientists & engineers to create data assets which are used to power and evaluate ground breaking machine learned experiences. Description Specific Responsibilities Include: - Lead high profile Foundation Model programs, responsible for roadmapping, establishing goals with DRIs and reporting statuses to executives regularly and succinctly - Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution - Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status - Proactively identify and manage risks, close gaps with the ability to switch gears on projects in an agile manner - Keep teams on critical path with efforts to minimize distractions - Provide clear, timely and objective communication, including regular program status updates and one-off reviews as needed to executive team - Keep an eye on any potential gaps across dependency teams and proactively promote regular communications on common source of truth - Proactive and regular insurance of alignments across all stakeholder teams when new factors arise - Plan yearly and quarterly budgets for data acquisition - Maintain awareness of the Privacy and Legal aspects of data management and regional regulations, ensuring the team is meeting company-wide requirements Minimum Qualifications

  • - 5+ years of experience in program management, particularly in the data acquisition of ML technologies, international locales experience is a plus.
  • Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems.
  • Excellent communication and presentation skills, with the ability to convey complex technical information to diverse audiences.
  • Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap
  • Experience leading cross functional security and privacy initiatives and collaborating with Legal, Privacy Engineering, Security and other teams across the organization to ensure compliance with privacy policies and security mandates
  • Excellent project management skills including project structuring and managing multiple work streams interdependently
  • Demonstrated ability to work collaboratively across the organization
  • Ability to independently draft and present deliverables, recommendations and communication strategies
  • Bachelor's or Master's degree. EE/CS/CE or equivalent. Key Qualifications Preferred Qualifications
    • Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus
    • Experience with international locales experience Education & Experience Additional Requirements Pay & Benefits
      • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $152,400 and $268,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
        • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Keywords: The Learning Experience #398, Bellevue , AIML - Sr Engineering Program Manager, Machine Learning FM, Engineering , Seattle, Washington

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