Lead AI Workflows & Media Supply Chain Engineer

Apple Inc.

Culver City (CA)

On-site

USD 138,000 - 251,000

Full time

11 days ago

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Job summary

Apple seeks a Lead Developer, AI Workflows & Media Supply Chain in Culver City, CA to design, build, and maintain AI-driven automation and agentic workflows that streamline ingest, metadata enrichment, QC, and downstream distribution across the media supply chain.

You'll bridge AI models with internal data systems, deploy secure interfaces, create dashboards, collaborate with AI/ML teams, and mentor engineers in a fast-paced production environment.

Qualifications

  • We are looking for experienced professionals who have built and operated production automation or AI/ML systems within the media, entertainment, or technology industries.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 5+ years of experience as an automation and workflow engineer.
  • Experience designing and shipping automated, end-to-end workflows (e.g., ingest, metadata enrichment, QC, delivery) that measurably reduced manual effort or turnaround time.
  • Experience applying AI/ML or LLM-based automation to production systems, beyond prototyping.
  • Experience programming in Python and SQL to build automation, integrations, or data pipelines.
  • Experience working with professional media file formats and QC/delivery standards used in streaming or entertainment operations.
  • Experience writing tested, maintainable production code and following standard software engineering practices (code review, version control, CI/CD).
  • Direct experience handling sensitive and confidential information with integrity and discretion.

Responsibilities

  • Design, build, and maintain AI/ML-driven automation and agentic workflows that streamline ingest, metadata enrichment, QC, asset validation, and downstream distribution across the media supply chain.
  • Bridge AI models and internal data systems by deploying secure, scalable interfaces (e.g., MCP servers) and robust API integrations with MAM, inventory, and metadata platforms.
  • Build automated validation loops and human-in-the-loop review systems to ensure AI-generated metadata and decisions meet accuracy, compliance, and auditability standards before hitting systems of record.
  • Design, build, and maintain internal tools (dashboards, UIs, CLI utilities) that give operators visibility into and control over autonomous AI-driven workflows.
  • Collaborate with AI/ML developers to determine where AI/ML genuinely improves supply chain efficiency versus where deterministic automation is the better tool.
  • Establish processes to detect, reconcile, and resolve data and workflow inconsistencies across the media supply chain, ensuring outputs consistently meet Apple's delivery specifications.
  • Prototype and deploy targeted automation scripts, micro-services, and workflows to resolve emerging bottlenecks in content ingest, QC, and delivery pipelines.
  • Act as a technical lead and review for other engineers working on supply chain and automation initiatives, and represent the team's technical direction to cross-functional stakeholders.
  • Manage multiple concurrent priorities and adapt to shifting requirements in a fast-changing production environment.
  • Mentor or review the work of other engineers, and incorporate differing technical perspectives into technical decisions.

Skills

Automation & workflow engineering
Python
SQL
AI/ML
API integration

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow
Temporal
Kafka
Docker
Kubernetes
MCP servers

Job description

Apple seeks a Lead Developer, AI Workflows & Media Supply Chain in Culver City, CA to design, build, and maintain AI-driven automation and agentic workflows that streamline ingest, metadata enrichment, QC, and downstream distribution across the media supply chain.

You'll bridge AI models with internal data systems, deploy secure interfaces, create dashboards, collaborate with AI/ML teams, and mentor engineers in a fast-paced production environment.

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