We are looking for research engineers to develop systems for innovative AI agents and reinforcement learning. You will work alongside top machine learning researchers and engineers to create high-quality simulation systems and tools. The team focuses on building best-in-class AI agents that impact millions of users. Our work is recognized in leading scientific journals and conferences.

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
• 2+ years of machine learning engineering experience in training and inference systems.
• Solid software engineering skills with fluency in Python and the ability to deliver clean, well-tested code.
• Hands-on experience with distributed machine learning systems and CI/CD at scale.
• Proficiency with machine learning modeling frameworks such as PyTorch or TensorFlow.
• Proven track record of shipping machine learning systems end-to-end.
• Master's degree or PhD in Computer Science, Engineering, Math, or Physics from a strong program.
• Familiarity with macOS/iOS development ecosystems.
• Active personal interest in AI agents.

• Design and implement high-quality agent harnesses and simulation systems.
• Enable cutting-edge agent research through effective tooling.
• Collaborate with a team of world-class researchers and engineers.
• Contribute to the entire AI agent system stack, including model training and deployment.
• Stay innovative and productive while sharing key team values.

• 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.