This role involves leading the technical design and validation of innovative AI solutions to enhance the organization's content offerings across various media formats. The position requires collaboration with product management and operations to ensure technical feasibility and adherence to responsible AI principles. The focus is on building proofs-of-concept and automated workflows that leverage advanced AI models while ensuring high-quality data is used for training and evaluation. The successful candidate will drive the long-term technical strategy by continuously researching AI advancements and translating insights into actionable recommendations.

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
• Strong Python skills, including data manipulation and analysis using pandas and SQL.
• Hands-on experience building AI applications on LLM APIs through coursework, research, internships, or projects.
• Working knowledge of ML evaluation metrics such as precision, recall, and F1.
• Understanding of AI guardrails, including safety, privacy, compliance, and responsible deployment.
• Proficiency with LLM-assisted coding tools for software design and implementation.
• Clear written and verbal communication skills, including technical documentation.
• Internship or research experience building and benchmarking an AI system end to end.
• Experience translating business requirements into implementable solutions.
• Experience with multimodal models and video/audio processing.

• Lead the technical validation lifecycle from concept to production.
• Collaborate with product management to translate pitches into feasible solutions.
• Curate and own the 'golden datasets' for training and benchmarking.
• Execute rapid proofs-of-concept to validate technical viability.
• Own the technical handoff to engineering with clear reports and guidance.
• Lead post-launch validation by benchmarking production performance.
• Drive the team's long-term technical strategy through continuous research.
• Build POCs and automated workflows that integrate multimodal models.
• Design and run evaluations with domain experts to build ground-truth datasets.
• Turn results into clear recommendations and technical documentation.

• 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.