Senior ML Engineer - Responsible AI & GenAI Safety

Apple Inc.; Seattle (WA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Relocation assistance

Education reimbursement

Job summary

Apple seeks a Senior ML Engineer in AIML to lead responsible AI initiatives within the Human-Centered Machine Intelligence group. You will shape safety policies, assess risks, and drive mitigation strategies for generative models and multimodal systems, collaborating with design, engineering, legal, and regulatory teams to promote user safety and product innovation.

The role emphasizes practical deployment, measuring real-world impact, and advancing research in fairness, robustness, and

Qualifications

• 3+ years of ML experience with generative models (Transformers, LLMs, VLMs), NLP, or CV.
• Proficiency in Python and data science libraries with strong data analysis and visualization.
• Ability to translate technical insights for leadership and cross-functional partners.
• Experience evaluating complex, multi-labeled data.
• Experience collecting and analyzing language, vision, or multimodal datasets.
• Experience in failure analysis, quality engineering, or robustness testing.

Responsibilities

• Lead the responsible AI lifecycle end-to-end: assess risks, define policies, develop mitigation strategies, and drive continuous improvements.
• Work on architecture mitigation and safety alignment strategies for generative models and production integration.
• Develop models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve safety of generative models.

Skills

Generative models

Python & Pandas

Cross-functional communication

Data analysis & visualization

Evaluation design

Robustness testing

Handling sensitive content

Education

BS/MS/PhD in CS/ML or related field

Tools

Python

Pandas

Data visualization tools

Job description

Apple seeks a Senior ML Engineer in AIML to lead responsible AI initiatives within the Human-Centered Machine Intelligence group. You will shape safety policies, assess risks, and drive mitigation strategies for generative models and multimodal systems, collaborating with design, engineering, legal, and regulatory teams to promote user safety and product innovation.

The role emphasizes practical deployment, measuring real-world impact, and advancing research in fairness, robustness, and