Senior Engineering Program Manager, On-Device ML
A technical program manager role on Apple's On-Device Machine Learning team, driving delivery of high-performance ML frameworks and OS features on Apple silicon. Day to day, the person leads cross-functional teams, translates stakeholder needs into technical roadmaps, and ships large-scale ML training and data processing platforms.
- Compensation
- Not disclosed
- Location
- Cupertino
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Project management
- Posted
Skills
Must have
- 6+ years in a role leading cross-functional teams in product/project/program development
- BS/MS (EE/CS/CE) or a related technical field
- Track record delivering large-scale engineering products or platforms involving ML, data processing, and analytics at Internet scale (ML training, data pipelines, large-scale backend services, user-fa
- Ability to engage business partners, translate needs into technical roadmaps, and communicate with executive stakeholders
- Passionate about delivering the best user experience to internal users by surveying user needs and translating requirements into a feature roadmap
- Ability to use data and metrics to back assumptions, make recommendations, and drive actions
- Self-motivated, independent, proactive; creative and critical thinking; real-time triage, prioritization, and leading cross-functional teams under pressure
- Effective and clear written and verbal communication and presentation skills
Nice to have
- Prior program management or engineering experience in ML training or inference technologies
- Experience using objectives and key results (OKRs) to drive product outcomes
- Experience building technical communities across organizational boundaries
Full description
At Apple, we work every day to build products that enrich people’s lives. The On-Device
Machine Learning (ODML) team in Graphics, Games, and Machine Learning (GGML) Software
is seeking a Technical Program Manager to drive high-performance ML frameworks and OS
features that make it easier for developers inside and outside Apple to adopt and accelerate
machine learning across our products and ecosystems.
The On-Device Machine Learning team at Apple is responsible for enabling the Research to
Production lifecycle of cutting edge machine learning models that power magical user
experiences on Apple’s hardware and software platforms. We support ML engineers and
scientists through technologies that combine the latest in ML innovation and deep integration
with Apple silicon and infrastructure, unlocking the creation of customer experiences that
surprise and delight!
We’re looking for a strong Engineering Program Manager with a proven record of building and
maintaining complex software platforms, tools, and processes that deliver new end-to-end
experiences on-device. You will partner with teams across Apple and deliver some of the most
ambitious capabilities for executing machine-learned features on Apple hardware.
If you are the type of person that feels a personal stake in everything that you work on, have a
strong sense of ownership, thrive in fast-paced environments with lots of ambiguity, enjoy
working with complex technologies, know how to foster strong relationships, build trust, and
work for the success for the entire team, then you will be a strong match for our team. We want
to talk to you!
Minimum Qualifications
- 6+ years in a role leading cross-functional teams in product/project/program development.
- BS/MS (EE/CS/CE), or a related technical field.
- Proven track record of delivering large-scale engineering products or platforms involving machine learning, data processing, and data analytics tools at Internet scale, including experience with ML training (e.g. train/test, evaluation, measurement), data processing pipelines, large-scale and high-throughput backend services, and/or user-facing applications that use those services and deliver measurable business or product value.
- Ability to engage with business partners, translate needs into technical roadmaps, and deliver and effectively communicate and partner with executive stakeholders.
- Passionate about delivering the best user experience to internal users by actively surveying user needs and translating requirements into a feature roadmap.