ML Model Integration Platform Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / yr
Posted
27 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $242k
$159k most similar roles pay here $325k

This role pays more than 63% of similar roles. Most pay $185,493–$254,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · ML Model Integration Platform Engineer

ML Model Integration Platform Eng will join the Apple Service Engineering team as a senior engineer focused on Apple Intelligence and Private Cloud Compute. This role involves architecting, designing, and delivering platform components that integrate Large Language Models and other AI models into the software ecosystem to ensure safe, scalable deployment of ML-powered features. Day-to-day responsibilities include developing runtime services, APIs, tooling, and automation for model consumption, versioning, evaluation, and monitoring while building internal tools like CLIs and micro-services. The role requires expertise in distributed systems, concurrency, and failure modes. Candidates must be proficient in C/C++, Python, SQL, and Shell, with preferred experience in Docker, Kubernetes, and major cloud providers like AWS, GCP, or Azure to manage the infrastructure required for large-scale model serving and high-throughput production environments.

What you'll do

  • Architect and deliver platform components that integrate Large Language Models into the application stack.
  • Develop runtime services, APIs, and automation for model deployment, versioning, evaluation, and monitoring.
  • Build internal tools such as CLIs and microservices to improve developer experience.
  • Drive architectural decisions for distributed systems to ensure high reliability, throughput, and cost efficiency.
  • Design scalable infrastructure to support Apple Intelligence and Private Cloud Compute features.
  • Map system-wide impacts of changes to ensure resilient and future-proof platform architecture.
  • Navigate rapidly changing requirements to deliver stable solutions in a fast-paced environment.

What we're looking for

  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • 5+ years of software engineering experience building and operating production systems.
  • Strong background in distributed systems with the ability to reason about scale, concurrency, and failure modes.
  • Proven experience designing and implementing internal tools, automation, and service-level components.
  • Proficiency in scripting and programming languages such as C/C++, Python, SQL, and Shell.
  • Ability to collaborate cross-functionally and influence decisions through technical depth and clarity.
  • Experience with containerization technologies like Docker and orchestration platforms like Kubernetes (preferred).
  • Background in major cloud providers including familiarity with compute, storage, networking, and security services for ML workloads (preferred).

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