> Markdown version of [/jobs/ext/2563262-aiml-sr-manager-evaluation-data-science-insights](https://www.wearedevelopers.com/jobs/ext/2563262-aiml-sr-manager-evaluation-data-science-insights). 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).

---

# AIML - Sr Manager, Evaluation - Data Science & Insights

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Software Product Management, Data Logging, Large Language Models, Information Technology, Artificial Intelligence Markup Language (AIML)
- **Published:** August 21, 2026
- **Apply:** https://www.seattlejobs.com/job.asp?id=3361193450&tx=ZT1514TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Successful candidates will have strong experience in traditional human evaluation methodology, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features., * 6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams

 * Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar
 * Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers
 * Strong experience in human evaluation methodology for consumer-facing products at scale
 * Hands-on experience building and deploying LLM-based autograders and rubrics, and using them to drive proactive improvements in models and agentic features
 * Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders, * Experience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features
 * Experience with logging infrastructure and instrumentation for AI product quality measurement
 * Track record of growing senior individual contributors and leads from within your team and, where needed, recruiting data science and machine learning talent in competitive hiring markets
 * Familiarity with evaluation frameworks for agentic systems and tool-use

## Description

As a Senior Manager on the Data Science and Insights team, you'll lead a team of data scientists focused on a core pillar of evaluation, in close collaboration with teams across the company. Your experience will enable you to thoughtfully balance the various tradeoffs involved in creating successful features that meet Apple's high customer expectations for both quality and privacy.


## Related Videos

- [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models)
- [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting)
- [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application)
- [Build Delightful Mobile Experiences with Kotlin, Realm, and Atlas Device Sync](https://www.wearedevelopers.com/videos/694-build-delightful-mobile-experiences-with-kotlin-realm-and-atlas-device-sync)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)