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Music Content Operations AIML Program Lead

Apple· Music Content Operations
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Cupertino, California$164.5k - $247.4kfull-timePosted 4w ago

About the role

Full-time role to scale music content operations through models, agents, and automation. Lead transition from manual curation to a hybrid system with agents and human oversight, partnering with Engineering and Data Science to design, evaluate, and productionize agentic systems for music curation.

Responsibilities

  • Own the strategy and execution plan to scale curation through models, agents, and automation — sequencing workstreams by impact and driving them from concept to production.
  • Partner with Engineering and Data Science to develop agents that take on day-to-day curation work, from defining requirements through evaluation and production rollout.
  • Establish the infrastructure to support, integrate, and orchestrate agents over time — shaping how agentic systems plug into existing curation workflows and data.
  • Define the future operating model for curation — determining where agents handle work autonomously and where humans stay in the loop for high-priority, high-risk, or quality-assessment cases, including review of agent output.
  • Translate operational challenges into clear, actionable specifications for engineering and data science; break down problems into well-scoped, prioritized workstreams.
  • Evaluate technical proposals and model outputs; participate in design reviews and build eval frameworks to judge readiness for production.
  • Design and iterate on human-in-the-loop tooling that surfaces agent and model outputs for reviewers to validate high-stakes decisions.
  • Run ROI and impact analyses to prioritize automation with the most leverage.
  • Communicate progress, tradeoffs, and recommendations to senior leadership.
  • Partner cross-functionally to surface interdependencies and align priorities with Engineering, Data Science, Product, Editorial, Analytics, and other Operations teams.

Qualifications

  • 5+ years in operations, program management, or technical product roles with meaningful exposure to AI/ML-driven workflows.
  • Experience translating operational or product problems into ML requirements and working with data scientists and engineers through model development cycles.
  • Exposure to LLM-based workflows, prompt evaluation, or agentic automation — particularly in content moderation, classification, or operational workflows.
  • Familiarity with content classification and content-risk tradeoffs to judge where human review is warranted.
  • Track record of managing multiple concurrent workstreams with on-time delivery and proactive stakeholder communication.
  • Experience evaluating model outputs — designing eval sets, quality metrics, error analysis, and human feedback loops.
  • Experience designing or specifying review/annotation tooling for AI inputs to human reviewers.
  • Understanding of analytics principles (sampling, hypothesis testing, statistical measurement).
  • Proven ability to produce executive-ready written narratives and presentations.
  • Ability to lead ambiguous initiatives end-to-end with minimal direction.
  • Direct experience handling sensitive and confidential information with integrity and discretion.
  • Onsite availability; some nights and weekends as needed; up to 15%+ travel (domestic and international).
  • Bachelor’s degree in Engineering, Business/Economics, or equivalent experience.

Skills

Required:AI/ML strategy and program managementAgentic systems designModel evaluation and human-in-the-loopData storytelling and executive communicationCross-functional collaboration

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • educational expense reimbursement (tuition)
  • potential discretionary bonuses or commission payments and relocation eligibility
Last updated Sep 25, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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