Senior Engineering Manager, Apple Data Platform

Apple

Seattle, WA

Apply

JOB DETAILS

SKILLS

Alliance/Partner Marketing, Apple, Artificial Intelligence (AI), Big Data, Business Skills, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Cross-Functional, Data Management, Data Modeling, Data Science, Distributed Computing, Engineering Management, High Availability, Investment Strategy, Large-Scale Systems, Leadership, Machine Learning, Maintain Compliance, Mentoring, Product Lifecycle, Production Systems, Regulations, Regulatory Compliance, Scalable System Development, Scientific Research, Systems Scalability, Team Building, Team Lead/Manager, Technical Delivery, Technical Strategy, Trend Analysis

LOCATION

Seattle, WA

POSTED

30+ days ago

**Role Number:** 200664513-3337 **Summary** We are looking for a Senior Engineering Manager to lead the team building foundational systems and services that power Apple's AI and Data governance platform. This role sits at the intersection of Big Data management, ML infrastructure, and Generative AI, enabling teams across the company to move from data to trained models efficiently, reliably, and at scale. You will lead efforts that enable governance of large scale data-lakes, and GenAI infrastructure spanning the entire GenAI model development lifecycle. Your work will ensure compliance with the latest AI regulations while accelerating AI/ML development and experimentation. You will directly influence how ML practitioners develop and scale models across a wide range of products and services within Apple. **Description** As a Senior Engineering Manager in the AI and Data Governance group, you will lead the design and delivery of core systems and services that enable governance of Apple's data management and machine learning solutions, spanning the full ML lifecycle - from experimentation to large-scale training and deployment. This role requires strong leadership in infrastructure and distributed systems, paired with strategic thinking and effective execution in complex, cross-functional environments. You will work closely with Legal, Compliance, ML engineers, platform and infrastructure teams, and product partners to align on requirements, set technical direction, and deliver multi-quarter initiatives with broad organizational impact. We are looking for an experienced leader who is passionate about Governance, Big Data, and AI, with an experience of building world-class platforms at scale, and comfortable operating across diverse infrastructure environments. This is a unique opportunity to shape how data and machine learning is developed, deployed, and governed at scale within Apple, with the autonomy to experiment, the scale to make meaningful impact, and the support to take ideas from concept to production. **Minimum Qualifications** + Proven ability to define and execute a forward-looking technical vision, with a strong understanding of emerging trends in AI, generative models, and data-centric machine learning. + Strong understanding of governance and compliance trends and regulations for data and AI. + Demonstrated experience delivering large-scale distributed systems and ML/data infrastructure into production environments. + Strong track record of leading, mentoring, and scaling high-performing infrastructure and platform teams. + Deep passion for building reliable, scalable systems with high availability, strong performance, and an excellent developer experience. + Experience navigating complex, cross-functional environments and managing expectations across multiple stakeholders and partner teams. + Excellent communication skills, with the ability to clearly articulate technical strategy, trade-offs, and impact to diverse audiences, including senior leadership. + Proven ability to partner effectively with recruiting to attract, assess, and grow top technical talent. + Strong business acumen and results-driven mindset, with the ability to balance long-term strategic investments with near-term delivery. + Comfortable operating in ambiguity, taking initiative, and leading teams through fast-paced, evolving problem spaces. + B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience. **Preferred Qualifications** + Experience building platforms that enable Data/AI governance and/or Responsible AI at scale. + Experience designing or operating high-performance data access paths for ML training and supervised fine-tuning. + Background working with ML practitioners, data scientists, and researchers to translate research needs into scalable production systems. + Experience operating ML Ops infrastructure across heterogeneous environments, including on-prem, hybrid, or multi-cloud deployments. + Strong perspective on where ML platforms and AI infrastructure are headed, and the ability to adapt platform strategy as the ecosystem evolve.

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

Resume Resources

Free Resume Templates Free Resume Builder