# How do you define quality in an ML context?

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Source: https://www.aced.io/questions/6286/define-quality-ml-context
Source observed: 2026-11-05T00:17:52.940Z
Last checked: 2026-11-05T00:17:52.94+00:00
Indexed: 2026-11-06T22:19:14.783+00:00

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# How do you define quality in an ML context?

We are Aced (formerly Exponent), an interview-preparation platform. This question belongs to our **Concept** and **Machine Learning** collections and is tagged for **Technical Program Manager** interviews and **Apple**.

## Question details

- **Question:** How do you define quality in an ML context?
- **Role:** [Technical Program Manager](https://www.aced.io/questions?role=tpm)
- **Company:** [Apple](https://www.aced.io/questions?company=apple)
- **Categories:** [Concept](https://www.aced.io/questions?type=concept), [Machine Learning](https://www.aced.io/questions?type=machine-learning)
- **Interview experiences:** 1 shared
- **Community answers:** No answers contributed by the community yet.

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## Interview experience

### [Apple · 10 months ago](https://www.aced.io/experiences/apple-technical-program-manager-interview-c836f6)

> A sourcer had been nudging me on LinkedIn for a while, so I never did a normal recruiter screen. Once I sent my resume, two hiring managers in the same Siri AI/ML org wanted to talk, so Apple ran one combined process for both EPM roles instead of making me do two separate loops. I did two hiring manager screens, then a joint onsite with a data science manager, an ML engineering manager, another behavioral round with one of the hiring managers, and a final conversation with a very senior engineering leader. The whole thing felt extremely team-dependent and very niche, especially the ML metrics parts, which is what made it different from more generic big-tech TPM loops. I finished in early December and got rejected.

**Role:** Technical Program Manager · Mid Level / L4

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