Senior Machine Learning iOS Platform Engineer, Responsible AI and Safety

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$216,200–$324,800 / yr
Posted
93 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $270k
$157k most similar roles pay here $343k

This role pays more than 94% of similar roles. Most pay $176,000–$254,750 — the shaded band above. At the midpoint, this role pays about $270k versus about $215k 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 · Senior Machine Learning iOS Platform Engineer, Responsible AI and Safety

As a Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety, you will join the team responsible for global generative AI products at the intersection of policy, product, and GenAI. You will lead the architectural vision and implementation of safety classifiers, guardrail models, and mitigation policies across both on-device foundation models running on Apple Silicon and server-side inference via Private Cloud Compute. Your daily work involves building high-performance systems to ensure safe, inclusive, and representative AI experiences while optimizing for large-scale image processing and real-time interactions. You will utilize Swift, Objective-C, Core iOS and Foundation frameworks, and on-device ML runtimes like Core ML or MLX. The role focuses on the technical challenge of integrating safety assets into production pipelines to mitigate unintended model behaviors across various multimodal workflows and deployment lifecycles.

What you'll do

  • Integrate safety classifiers and guardrail models across on-device and server-side inference platforms.
  • Design the technical architecture for multimodal workflows to ensure scalability and performance.
  • Implement and manage mitigation policies to reduce unintended consequences in generative AI features.
  • Optimize high-performance systems for real-time interactions and large-scale image processing.
  • Develop tools, frameworks, and evaluation methods to monitor and diagnose model failures.
  • Manage the end-to-end deployment lifecycle of safety assets from prototyping to production.
  • Oversee the integration of machine learning models into Swift-based client applications.

What we're looking for

  • 12+ years of professional experience.
  • At least 5+ years of experience in iOS and macOS application development using Objective-C and Swift.
  • Expertise in Apple's Core iOS and Foundation frameworks.
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent industry experience.
  • Experience shipping impactful mobile frameworks used by teams outside your direct team.
  • Experience leading the architecture and development of complex, high-performance production systems.
  • Demonstrated ability to lead projects, mentor engineers, and drive cross-functional initiatives from concept to delivery.
  • Knowledge of on-device ML runtimes, model-export lifecycles, and frontier LLM models including token-streaming and inference.

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