What are the responsibilities and job description for the AI/ML - Engineering Manager (Knowledge Platform), Information Intelligence position at Apple?
Summary
Posted: Apr 8, 2022
Weekly Hours: 40
Role Number:200362835
The Apple Knowledge Platform Team is building the next-generation of machine learning solutions in the Knowledge Graph Platform at Apple helping to power many features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will manage a team working on cutting edge technologies for private knowledge graph services that run on-device. You will have an opportunity to imagine and build products that delight our customers every single day.
Key Qualifications
- Industry experience of at least 5-years in people management
- Excellent management, organization, and communication skills
- Knowledge of applied machine learning
- Broad knowledge of computer science and systems; ability to quickly learn new domains
- Excellent problem-solving and analytic skills
- Good interpersonal skills and teamwork
- Passion for building phenomenal products and curiosity to learn
Description
The Knowledge Platform team is looking for a Machine Learning Engineering manager to manage an on-device knowledge graph technology and services team. Together, you will be pushing the boundaries of Knowledge Graph Construction , Entity Linking, and query processing. As part of the Knowledge Platform Management team, you will coordinate engineers working on an on-device knowledge platform that efficiently constructs, manages, and serves knowledge to a variety of other applications. You will work side-by-side with other Engineering Managers and Technical Leads to drive our projects forward. You will take direct responsibility for the direction of the projects, the deliverables of the team, and the development of your team members. Excellent problem-solving and communication skills, and a passion to make the best products possible is the key for success in our team.
Education & Experience
Bachelor's or Master's degree in Computer Science or equivalent work experience
Additional Requirements
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