Senior Machine Learning Engineering Manager, Responsible AI and Safety AIMLSWE

Join us as we build world-class groundbreaking products for our customers! Apples Responsible AI and Safety 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 leader with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility fairness and this role you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apples values privacy and quality standards.

As a manager you will lead a growing team to innovate and deliver high-impact features with state-of-the-art machine learning technologies. You will be working on the design and development of core technologies in the areas of GenAI and Responsible AI and Safety. An ideal candidate should have experience leading and supporting teams to develop ML-based solutions from initial concept through product release. They will be working closely on safety policies and risk assessment teams in leading our evaluation efforts.

Proven technical leadership with 5 years of team management or leadership experiencenPhD or equivalent experience in Computer Science or related technical field is helpfulnDemonstrated expertise in ML research and/or ML production deployment lifecycle nDeep understanding of LLMnHands-on experience working with deep learning toolkits such as Tensorflow or PyTorchnAbility to formulate a research problem design experiment implement and communicate solutionsnAbility to work in a diverse collaborative environment

Publication record in relevant conferences (e.g. NeurIPS ICML ICLR EMNLP etc.)nExperience working on Responsible AI and AI Safety