> Markdown version of [/jobs/ext/194713-engineering-program-manager-ml-lineage-lifecycle-platform-apple-services-engineering](https://www.wearedevelopers.com/jobs/ext/194713-engineering-program-manager-ml-lineage-lifecycle-platform-apple-services-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Program Manager, ML Lineage & Lifecycle Platform, Apple Services Engineering - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $163,300.0 - $290,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Delivery Pipeline, Model Validation, Information Technology, Data Lineage, Data Analytics, Machine Learning Operations, Artificial Intelligence Markup Language (AIML) - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bc6f171dd8d356de ## About the Role Do you have experience in Technology management?, Do you have a Master's degree?, Masters degree, 6+ years of product or technical program management experience covering as many of the following areas as possible: ML lifecycle management, ML lineage, metadata systems, model evaluation and monitoring, AI compliance and regulatory, data analytics, and search Proven experience leading large and complex programs that cover the end-to-end ML model lifecycle, including training, evaluation, deployment, and continuous optimization, with a strong emphasis on lineage tracking and reproducibility Demonstrated ability to ensure ML workflows, models, and datasets follow global AI regulations, aligning technical, product, and compliance requirements Outstanding interpersonal and communication skills, including the ability to influence engineers, compliance/regulatory partners, and cross-functional partners Strong desire to learn, skill in problem solving, and ability to make nuanced trade-offs between innovation speed and compliance rigor BS in Computer Science, Engineering, or related technical field, or equivalent work experience ## Description In this role, you will define and drive the future of Apple's ML Lineage solution, champion adoption across product teams, and lead programs that ensure compliance with evolving global standards. You will have the opportunity to set vision, influence strategy, and shape how Apple delivers the next generation of AI.","responsibilities":"As a key EPM in the AIML Lifecycle Platform team, you will establish strong cross-functional partnerships with ML researchers, engineers, and compliance teams to understand requirements and shape the ML Lifecycle Platform roadmap. You will drive the build-out and adoption of Apple's ML Lifecycle platform and ML Lineage solutions, ensuring models, datasets, and transformations are consistently compliant and auditable across the lifecycle. Lead programs that embed AI compliance and regulatory requirements into ML development and deployment workflows, guaranteeing that production features meet evolving global and regional regulation standards. Partner with engineering to deliver scalable and robust metadata and lineage systems that provide traceability, reproducibility, and accountability for ML models at Apple. Stay ahead of emerging AI governance, compliance, and responsible AI practices, evaluating technologies and methodologies to strengthen Apple's leadership in trustworthy AI. Serve as the central PM voice connecting AIML engineers, regulatory experts, and cross-functional partners to align on strategy, execution, and long-term vision. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)