Apple is building out machine learning (ML) lifecycle tools to enable ML researchers and engineers to develop generative AI features for key Apple services, aiming to improve developer experience and accelerate ML feature development.
Requirements
- Strong understanding of and experience in machine learning, ML tools, MLOps, data engineering, ML infrastructure and data platforms
- Strong technical understanding of machine learning and data and AI
- Working knowledge of public cloud technologies (AWS/GCP/others)
- Experience building product roadmaps from conception to launch
- Leading design discussions
- Strong knowledge of machine learning and generative AI technologies
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 AI/ML tools for a wide group of ML researchers and engineers
- Build production ML pipelines and features
- Drive the product vision
- Define go-to-market strategy
Other
- At least 10+ years product management experience in technical enterprise products, preferably around data and AI.
- 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.
- Comfortable dealing with challenging priorities spread across multiple customers.
