AIML - ML Engineer, Responsible AI

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $139,500–$210,100 / yr
Posted: today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $175k

$127k most similar roles pay here $259k

This role pays less than 67% of similar roles. Most pay $162,562–$246,150 — the shaded band above. At the midpoint, this role pays about $175k versus about $204k 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 351 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 246 roles with salary data.

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At a glance

TL;DR · AIML - ML Engineer, Responsible AI

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As an ML Engineer at Apple's HCMI group, you will join a team of scientists and engineers dedicated to advancing generative AI applications. Your primary responsibilities include developing models, tools, and metrics for evaluating the safety and robustness of large-scale generative models used in vision and language technologies. You will also build human annotation pipelines and red teaming processes to assess product quality and risk, while prototyping new ML algorithms for model interpretation and failure analysis. This role requires expertise in Python or Swift, experience with generative models like LLMs and diffusion models, and a background in AI/ML explainability and robustness analysis. You will work on highly sensitive content, contributing to the development of innovative solutions that enhance the safety and reliability of Apple’s cutting-edge products.

Skills

Python Swift Generative_Models Natural_Language_Processing LLMs Diffusion_Models Failure_Analysis Quality_Engineering Robustness_Analysis Crowd_Sourcing Explainability Interpretation_of_ML_Models

What you'll do

Develop models to assess the safety of generative AI throughout deployment.
Create tools and metrics for evaluating failures in language and diffusion models.
Maintain human annotation pipelines to evaluate quality and risk in Apple products.
Prototype and implement new ML algorithms for red teaming large language models.
Work on explainability methods for interpreting AI/ML model failures.

What we're looking for

Strong background in generative models, natural language processing, LLMs, or diffusion models.
Experience with failure analysis, quality engineering, and robustness for AI/ML features.
Proficient in writing production-quality code using Python, Swift, or similar languages.
Expertise in developing methods to interpret and explain failures in AI/ML models.
Experience working on human annotation pipelines and red teaming assessments.
Comfortable handling sensitive content and conducting evaluations with offensive material.