Job Description
**Weekly Hours:** 40
**Role Number:** 200628485-0836
**Summary**
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly!
The Productivity Apps team—the team behind apps like Notes, Freeform, and iWork— needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. You will be working alongside our world-class creatives, designers, scientists, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
**Description**
As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and how data characteristics impact model performance. Your primary responsibility will be profiling and analyzing data to surface quality issues, identify gaps, and guide improvements to both evaluation and training datasets. Your deep ...
**Role Number:** 200628485-0836
**Summary**
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly!
The Productivity Apps team—the team behind apps like Notes, Freeform, and iWork— needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. You will be working alongside our world-class creatives, designers, scientists, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
**Description**
As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and how data characteristics impact model performance. Your primary responsibility will be profiling and analyzing data to surface quality issues, identify gaps, and guide improvements to both evaluation and training datasets. Your deep ...
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