AIML - Senior ML Engineer, AI and Safety

Position: AIML - Senior ML Engineer, Responsible AI and Safety
Role Number:
Team:
Machine Learning and AI

Location:

Cupertino;
New York City;
San Francisco;
Seattle Posted:
Summary Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative?

Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models.

As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. You’ll also contribute to forward‑looking research in fairness, robustness, uncertainty, and safety — pushing the boundaries of responsible AI cription

Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders—ensuring our safeguards advance both user protection and product innovation.

These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post‑launch to continuously improve feature safety and user trust.

Minimum Qualifications 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows

Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross‑functional partners, senior leadership, and executives

Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi‑labeled data Hands‑on experience collecting and analyzing language, vision, or multimodal datasets

Background in failure analysis, quality engineering, or robustness testing for ML‑driven systems

Must be comfortable working with sensitive or potentially offensive content

Preferred Qualifications BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience

Proven success contributing in a highly cross‑functional environment

Experience shipping complex AI systems at global scale

Background in model explainability, uncertainty estimation, or interpretability

Curiosity and research interest in fairness, bias, and the societal impacts of generative AIPassion for building innovative, high‑impact products that draw upon interdisciplinary skills

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and…