AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

Apple Inc

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$184,700–$324,800 / yr
Posted
104 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $255k
$157k $343k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $229k for comparable roles.

Based on 240 similar postings.

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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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

The AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety joins the Responsible AI red-teaming function to protect Apple Intelligence features from real-world misuse. You will own a cluster of AI features, actively probing them pre-ship and post-ship to identify reproducible vulnerabilities and novel failure modes, including agentic scenarios. Responsibilities include inventing attack strategies, triaging findings by severity, and driving mitigations through stakeholders. You will design and build automated red-teaming tooling for attack generation and batch orchestration. The role requires production-quality Python coding, experience with generative models, and foundation model-based AI programming using tools like DSPy. You must navigate noisy, crowd-based data labels while addressing technical challenges regarding fairness, bias, and security in generative AI systems.

What you'll do

  • Own a dedicated cluster of Apple Intelligence features and develop expertise in their architecture and failure modes.
  • Actively probe systems pre-ship and post-ship to identify real and reproducible vulnerabilities.
  • Invent novel attack strategies based on the latest jailbreak and attack research.
  • Validate and triage findings by severity and reach while driving them to resolution with stakeholders.
  • Design and build automated red-teaming tooling to scale attack generation and testing coverage.
  • Identify gaps in policy and evaluation coverage to provide feedback to mitigation teams.
  • Partner with internal and external crowds to route findings and share best practices.

What we're looking for

  • MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or an equivalent qualification.
  • Experience working with generative models for evaluation and product development.
  • Strong engineering skills and experience writing production-quality code in Python.
  • Deep experience in foundation model-based AI programming and a drive to innovate in this space.
  • Experience working with noisy, crowd-based data labels and human evaluations.
  • Experience in AI red-teaming (preferred).
  • Experience working in the Responsible AI space (preferred).
  • Prior scientific research and publication experience (preferred).

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