Sr Engineering Program Manager, ML Lifecycle Platform
5 Months ago • All levels • $165,500 PA - $293,800 PA
Research Development
Job Description
As a key Engineering Program Manager (EPM) within the AIML team, you will be responsible for establishing cross-functional partnerships with ML stakeholders to understand their use cases and improve the ease of use of the ML Lifecycle services. You will support the execution and implementation of Apple’s ML platform, with a primary focus on its ML Lifecycle platform. This involves managing pipelines, model registries, feature stores, and related services. You will collaborate with Apple's AIML engineering teams to define a partnership strategy, processes and tools for managing the entire ML lifecycle, including data management, model training, validation, deployment, monitoring, and retraining. The role involves working with top engineering teams to design efficient technologies to accelerate the ML lifecycle. You will be a trusted advisor to customers, translating product/program requirements into technical use cases, mitigating risks, driving the product lifecycle, and ensuring the program meets specifications.
Must Have:
- Establish cross-functional partnerships with ML stakeholders
- Support the execution and implementation of ML platform
- Collaborate with engineering teams to define strategy
- Manage pipelines, model registries, feature stores
- Translate product requirements to technical use cases
- As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with ML stakeholders understanding their use cases and improve the ease of use of the ML Lifecycle services.
- Support the execution and implementation of our ML platform, with a primary focus on Apple’s ML Lifecycle platform This includes managing pipelines, model registries, feature stores, and other related services.
- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem for defining processes and tools for managing the entire ML lifecycle, including data management, model training, validation, deployment, monitoring, and retraining.
- Work with best in class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle. You will be the trusted advisor to our customers to deeply understand their needs and help deliver their use cases and business outcomes
- Translate the product/program requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.
- Drive complete product life cycle from idea to development to go-to-market within Apple.
- Ensure the program meets all specifications and key metrics.
- Translate customer feedback and market dynamics into potential changes to ensure a differentiated product roadmap and communicate this to senior management
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