Apple is building out machine learning (ML) lifecycle tools to improve the developer experience and accelerate ML feature development for generative AI features across key services.
Requirements
- Strong understanding of and experience in machine learning, ML tools, MLOps, data engineering, ML infrastructure and data platforms.
- Strong knowledge of machine learning and generative AI technologies
- Working knowledge of public cloud technologies (AWS/GCP/others).
- Strong technical understanding of machine learning and data and AI.
Responsibilities
- Work closely with internal ML engineering teams across Apple Services to understand their use cases, workflows, and pain points
- Improve their developer experience
- Accelerate ML feature development
- Build production ML pipelines and features
- Build out machine learning (ML) lifecycle tools
- Build generative AI features for Apple's key services ranging from Music, TV+, Podcasts, iCloud, Apps Store, and Sports.
Other
- At least 10+ years product management experience in technical enterprise products, preferably around data and AI.
- Experience building product roadmaps from conception to launch, driving the product vision, defining go-to-market strategy, and leading design discussions.
- Able to identify and explain challenges to both technical and non-technical personnel.
- Experience communicating engineering technical challenges that may affect business timelines.
- Strong verbal and written communicator with the ability to influence and build consensus in a collaborative way.
