The role involves developing innovative machine learning approaches to address quality challenges at scale within Apple's software development ecosystem. The team consists of applied ML scientists and engineers who focus on creating AI-powered testing solutions using various ML techniques. Candidates will guide the technical direction of the team while mentoring junior engineers and actively participating in coding and experimentation. Success in this role requires a collaborative mindset and a passion for solving complex problems with creative solutions.

• 5+ years of hands-on experience developing machine learning systems in production environments
• Strong programming skills with demonstrated ability to write production-quality ML code
• Proven track record working with multiple ML paradigms including modern and traditional methods
• MS or PhD in Computer Science, Machine Learning, or equivalent professional experience
• Experience with classical ML techniques, reinforcement learning, or probabilistic modeling in addition to deep learning
• Experience in NLP, computer vision, or multimodal ML applications
• Track record of technical mentorship or leading complex ML projects
• Familiarity with Apple development ecosystem and frameworks
• Experience with testing, software quality, or developer tools

• Develop novel ML approaches to challenging quality problems at scale
• Work hands-on with a diverse set of ML techniques to find effective solutions in production
• Guide technical direction for the team and mentor junior engineers
• Maintain deep involvement in coding and experimentation
• Shape product direction through technical judgment and understanding of ML methods

• 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.