AI Safety - Machine Learning and Applied Research

Apple Inc.; Seattle (WA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company in Seattle seeks a Machine Learning expert to lead Responsible AI initiatives and collaborate with cross-functional teams. You will shape safety policies for generative AI products, ensuring user protection and product innovation. The ideal candidate has over 3 years of experience in machine learning, with a strong focus on responsible AI and a relevant degree. This role offers the chance to work at the intersection of emerging technologies and real-world use cases.

Qualifications

• 3+ years of proven ability in machine learning, including work with generative models.
• 4+ years research or product deployment record in responsible AI.
• Strong research fundamentals and machine learning principles.
• Experience with common challenges in generative models.

Responsibilities

• Shape safety policies in partnership with leadership and stakeholders.
• Collaborate with top machine learning researchers and engineers.
• Produce safety evaluations that uphold company’s values.

Skills

Machine Learning

Generative Models

Natural Language Processing (NLP)

Computer Vision

Responsible AI

Education

PhD in Computer Science

MS in Computer Science

BS in Computer Science

Job description

AIML - Machine Learning and Applied Research, Responsible AI and Safety

Seattle, Washington, United States Machine Learning and AI

Apple Intelligence is designed as a deeply integrated, privacy‑preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how they interact with their technology.

Description

Our team leads Responsible AI & Safety 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. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real‑world use cases. This is also where the most critical breakthroughs come from. You will also work on producing safety evaluations that uphold Apple’s Responsible AI values: requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto‑grading to assess feature performance; and mindful analysis to understand what the evaluation means for the user experience.

Minimum Qualifications

• 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
• 4+ Years research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
• Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
• Experience working with generative models for evaluation and/or product development, and up‑to‑date knowledge of common challenges and failures.
• PhD, MS or BS in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues

Preferred Qualifications

• Experience working in the Responsible AI space.
• Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
• Proven success contributing in a highly cross‑functional environment.
• Experience shipping complex AI systems at global scale.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.