AIML - Machine Learning Research Engineer in Foundation Models, Responsible AI

Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.

Description

This role will be highly multifunctional. 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. As a researcher, you will: - Define and deliver responsible machine learning technologies - Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind - Research and advance safety alignment and model robustness methods for foundation models - Research and develop mitigations and safeguards to ensure safe deployment of LLM’s in Apple products - Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features - Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products - Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution

Minimum Qualifications

Strong 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 Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow) Work with highly-sensitive content with exposure to offensive and controversial content

Preferred Qualifications

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