Machine Learning Engineer (MLOps), Evaluation

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
69 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 50% of similar roles. Most pay $192,250–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $221k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer (MLOps), Evaluation

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Join our dynamic team as a Senior Machine Learning Engineer specializing in MLOps and LLMOps, where you will design and implement advanced ML infrastructure frameworks and tools for Apple Intelligence evaluations. You’ll work closely with product, research, data science, and infrastructure teams to establish methodologies for model integration, deployment, and monitoring using CI/CD principles. Your responsibilities include ensuring the scalability, efficiency, and security of large-scale LLM services while championing observability and feedback loops. Utilize your expertise in distributed systems, databases, cloud platforms, and container orchestration to build automation and self-service tools that enhance reliability across all AI products. Ideal candidates have 4+ years of experience in large-scale software system design, a strong background in LLMs, and excellent communication skills for collaboration in a fast-paced environment.

Skills

AWS Azure GCP Kubernetes CI/CD LLMs Vector databases RAG patterns SQL NoSQL Docker Prometheus Grafana Terraform Python

What you'll do

  • Design and implement advanced ML infrastructure frameworks and tools.
  • Establish methodologies for model integration, deployment, and monitoring using CI/CD principles.
  • Ensure scalability, efficiency, and security of high-traffic LLM services.
  • Champion observability, incident response, prompt versioning, and feedback loops in LLMs.
  • Implement processes for continuous quality improvement of Apple Intelligence systems.

What we're looking for

  • 4+ years of software engineering with expertise in large-scale system design and implementation.
  • Proven experience shipping production-grade ML/LLM systems.
  • Strong understanding of LLMs, fine-tuning, prompt engineering, vector databases, and RAG patterns.
  • Experience with distributed systems, cloud platforms (AWS, Azure, GCP), and container orchestration (Kubernetes).
  • Ability to solve complex problems creatively and deliver innovative solutions in a fast-paced environment.
  • Excellent communication skills and a collaborative team-oriented attitude.

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