The ML Research Engineer role at Apple Services Engineering focuses on developing automated safety benchmarking methodologies for AI features across various platforms. The team aims to create reliable and safe AI experiences by investigating media-related agent behaviors and establishing rigorous evaluation frameworks. This position requires collaboration with engineers, project managers, and governance teams to translate safety insights into actionable improvements. The successful candidate will blend technical expertise with analytical judgment to enhance AI/ML model behavior.

• Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience
• 1+ years of work experience either as a postdoc or in the industry
• Strong research background in empirical evaluation, experimental design, or benchmarking
• Strong proficiency in Python, including libraries such as pandas, NumPy, Jupyter, and PyTorch
• Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems
• Strong analytical and communication skills, including the ability to write clear reports

• Lead the design and continuous development of automated safety benchmarking methodologies
• Investigate how media-related agents behave and develop evaluation frameworks
• Establish scientific standards for assessing risks and safety performance of AI tools
• Generate benchmark datasets and evaluation methodologies for model outputs at scale
• Collaborate with cross-functional teams to develop technologies ensuring reliable AI experiences
• Work independently and collaboratively on a wide range of projects

• 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.