AIML - ML Researcher, Safety & Red Teaming

Apple - Cambridge, MA

Full-time - Senior

Cambridge, MA

Computer and Electronic Product Manufacturing

About the position

Join Apple's Data and ML Innovation team as we build world-class groundbreaking products for our customers! This role focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. We are looking for a tech lead with a strong track record in Applied Research who is passionate about machine learning and Human-Computer Interaction, particularly in relation to the responsibility, fairness, and safety of Generative AI. In this position, you will lead research methods aimed at enabling machine learning technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards. This role will be highly multifunctional, requiring close collaboration with top machine learning researchers, 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, which is also where the most critical breakthroughs come from. As a researcher, you will define and deliver responsible machine learning technologies, research and advance red teaming methods for generative AI models, and develop mitigations and safeguards to ensure the safe deployment of large language models (LLMs) in Apple products. You will also develop methods and frameworks to evaluate our products and advocate for scientific and engineering excellence, contributing to the architecture and high-level structure of Apple's AI-powered platform and features. Your work will involve tackling a diverse set of challenging problems and collaborating with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products. You will work closely with product and partner teams to drive requirement definition, ensure the technical quality of deliverables, and oversee execution.

Responsibilities

• Define and deliver responsible machine learning technologies.
• Research and advance red teaming methods for generative AI models.
• Research and develop mitigations and safeguards to ensure safe deployment of LLMs in Apple products.
• Develop methods and frameworks to evaluate our products.
• Contribute to the architecture and high-level structure of Apple's AI-powered platform and features.
• Collaborate with software engineers, machine learning engineers, and researchers to solve challenging problems.
• Work closely with product and partner teams to drive requirement definition and ensure technical quality of deliverables.

Requirements

• Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI 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.
• Deep experience in human-centered research, understanding design fundamentals in Human-Centered AI, Responsible AI, and Human-Computer Interaction.

Nice-to-haves

• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues.
• Strong organizational and operational skills working with large, multi-functional, and diverse teams.