Apple's Ads team is looking for a highly skilled Machine Learning Engineer to join the Ads Relevance and Quality team. This team focuses on ensuring high-quality and trustworthy ad experiences by building intelligent systems that evaluate ad relevance and detect low-quality content. The role involves working at the intersection of applied machine learning, natural language processing, and content quality. The engineer will collaborate with top engineers and researchers to apply cutting-edge ML techniques and have a direct impact on user experience.

• 4+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems
• Strong expertise in natural language processing, including offensive content detection and semantic matching
• Experience with Transformer-based architectures such as BERT and training pipelines in TensorFlow or PyTorch
• Familiarity with fine-tuning Large Language Models for downstream tasks such as classification and content moderation
• Familiarity with quality and fairness evaluation frameworks like precision, recall, and policy alignment
• Hands-on experience with A/B testing and performance debugging in production
• Proficiency in Python and SQL
• Strong problem-solving and communication skills
• MS or PhD in Computer Science, Machine Learning, NLP, or a related technical field
• Additional experience in Scala or Java

• Design models and systems that understand queries and flag inappropriate content
• Build intelligent systems to evaluate ad relevance and optimize user satisfaction
• Collaborate with engineers and researchers to apply machine learning techniques
• Ensure ads remain useful, relevant, and respectful of users
• Support Apple's values of privacy, trust, and transparency

• 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.