AIML - Senior ML Engineer, Responsible AI and Safety

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $250k

$154k most similar roles pay here $336k

This role pays more than 86% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $209k 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 1798 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1459 roles with salary data.

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At a glance

TL;DR · AIML - Senior ML Engineer, Responsible AI and Safety

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As a Senior ML Engineer at Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you will lead the responsible AI lifecycle by assessing risks, defining policies, and developing mitigation strategies for large language and multimodal models. Your daily tasks include collaborating with cross-functional teams to minimize unintended consequences while enhancing feature capabilities and user experience. You will work on architecture mitigation and safety alignment strategies, drive integration in production, and develop tools and datasets to monitor and improve model safety post-deployment. Proficiency in Python, data science libraries like Pandas, and strong skills in data analysis and visualization are essential, along with expertise in failure analysis and robustness testing for ML-driven systems. This role requires experience with complex datasets and a background in fairness, bias, and the societal impacts of generative AI.

Skills

Python Pandas DataAnalysis DataVisualization MachineLearning CI/CD CloudServices Docker Kubernetes Terraform PostgreSQL MySQL Git JupyterNotebook Prometheus Grafana MLOps

What you'll do

Lead end-to-end responsible AI lifecycle for generative features.
Develop mitigation strategies to address risks and unintended consequences.
Drive continuous improvements in safety and alignment of large models.
Collaborate on architecture and integration of safety measures in production.
Conduct failure analysis and quality engineering for ML-driven systems.
Collect, analyze, and visualize multimodal datasets for model improvement.

What we're looking for

Proficiency in Python and data science libraries with strong data analysis and visualization skills.
Experience designing and supporting human and automated evaluations for complex datasets.
Background in failure analysis, quality engineering, or robustness testing for ML systems.
Hands-on experience collecting and analyzing language, vision, or multimodal datasets.
Strong analytical and independent problem-solving skills with ability to navigate ambiguity.

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