Apple

ML Infrastructure Service Reliability Engineer- Apple Services Engineering

India · On-site
Salary not published
Posted 3 weeks ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

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Must have

Data analysis
Kubernetes
Machine learning

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Hi [Name], I just applied for the ML Infrastructure Service Reliability Engineer- Apple Services Engineering role at Apple. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

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Apple

ML Infrastructure Service Reliability Engineer- Apple Services Engineering

India · On-site
Salary not published
Posted 3 weeks ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

At Apple, we don’t just build products — we create transformative experiences that have reshaped entire industries. Our innovation is driven by the diversity of our people and their ideas, inspiring everything we do. Imagine the impact you could make. Join Apple and help us leave the world better than we found it.

The ML Infrastructure team is responsible for managing Apple’s largest ML compute platform, multi-cloud storage abstraction and caching platform, which supports critical machine learning training workloads that power user-facing features across the Apple ecosystem. Operating across both first-party and third-party cloud environments brings complex and unique challenges.

As a Site Reliability Engineer (SRE) on the ML Infrastructure team, you’ll be expected to address these challenges through a strong foundation in cloud object storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes. Our team oversees the full infrastructure stack — from low-level nodes to the complete network architecture — ensuring our platform remains highly available, resilient, and eﬃcient at scale.

What they ask for vs. your profile

Must have

Data analysis
Kubernetes
Machine learning

What they ask for vs. your profile

Must have

Data analysis
Kubernetes
Machine learning

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

AI ready

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ATS check

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