The Data and ML Innovation team at Apple is seeking a tech lead with expertise in Applied Research, particularly in machine learning and foundation models. This role emphasizes responsibility, fairness, and safety in the development of innovative technologies that enhance user experiences. The candidate will collaborate with top researchers and engineers to create groundbreaking solutions while adhering to Apple's values and quality standards. The position involves working on complex problems at the intersection of emerging technologies and real-world applications.

• Research or product deployment record in areas related to responsible AI, with publications in top ML venues.
• Strong understanding of machine learning principles and development methodologies around LLMs, foundation models, and diffusion models.
• Proficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or TensorFlow.
• Experience with LLM training and safety alignment.
• BS, MS, or PhD in Computer Science, Machine Learning, or related fields, or an equivalent qualification.

• Define and deliver responsible machine learning technologies.
• Develop methods and frameworks to train and evaluate foundation models with a focus on responsibility and safety.
• Research and advance safety alignment and model robustness methods for foundation models.
• Research and develop mitigations and safeguards for the safe deployment of LLMs in Apple products.
• Contribute to the architecture and high-level structure of Apple's AI-powered platform and features.
• Collaborate with product and partner teams to drive requirement definition and ensure technical quality of deliverables.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.