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# Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $206,200.0 - $356,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Search Technologies, Software Engineering, Siri, Agentic-AI, Question Answering, Information Technology, Machine Learning Operations, Data Generation
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f6d7b1b88073fcc3

## About the Role

Experience designing and building production machine learning systems in search, natural language processing, recommendation systems, or information retrieval

Experience in data collection, data generation, or data quality assessment of language, image, or multimodal data

Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience

Minimum Qualifications

6 or more years of industry experience building machine learning or machine learning evaluation systems at scale

2 or more years of industry experience in technical leadership or management

Knowledge of machine learning fundamentals, neural network architectures, and software engineering in Python or C/C++

Communication and collaboration skills

Bachelor's degree in Computer Science, Engineering, Statistics, or a related field

## Description

We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how Apple assesses and improves the quality of Agentic Search - driving solutions across search quality, data quality, and both offline and online metrics to enable iterative product improvements. You will lead a team focused on evaluating Agentic Search experiences that power personalized Siri AI and enable answers to users' personal questions, with privacy at the forefront. Your team designs and builds evaluation systems, develops data generation and curation methods, and creates metrics frameworks for quality assessment and continuous improvement.","responsibilities":"Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized Agentic Search

Contribute to the design and implementation of offline and online metrics to assess quality at the product and component level for Personal Question Answering, and drive iterative improvement

Collaborate with partner teams to define data and evaluation requirements, set priorities, and identify opportunities to enhance the Personal Question Answering stack

Define the long-term technical vision for personalized Siri Search quality, identify gaps, and drive solutions as part of a broader roadmap