Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

Apple Inc.; Cupertino (CA); On-site; USD 206,000 - 356,000; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Relocation assistance

Job summary

Apple seeks a Machine Learning Engineering Manager to lead a team evaluating personalized Agentic Search quality for Siri. You will design scalable evaluation systems, build data-generation methods, and define metrics frameworks to enable privacy-preserving, high-quality results across devices.

You will collaborate with cross-functional teams, drive online/offline metric design, and shape the long-term vision for improved personal question answering within Apple’s privacy-first strategy.

Qualifications

• 6+ years of industry experience building ML or ML evaluation systems at scale.
• 2+ years of industry experience in technical leadership or management.
• Knowledge of ML fundamentals, neural networks, and software engineering in Python or C/C++.
• Communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.

Responsibilities

• Lead a team of ML and software engineers to design and build scalable evaluation systems for personalized Agentic Search.
• Develop offline and online metrics to assess product and component quality and drive improvements.
• Collaborate with partner teams to define data and evaluation requirements and set priorities.
• Define the long-term technical vision for personalized Siri Search quality within a broader roadmap.

Skills

Leadership

Communication

Python/C++

ML fundamentals

Team collaboration

Education

Bachelor's degree in CS/Engineering/Statistics

Tools

Python

C/C++

Job description

Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

Cupertino, California, United States Machine Learning and AI

The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.

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

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

Preferred Qualifications

• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including:

• Comprehensive medical and dental coverage.
• retirement benefits.
• a range of discounted products and free services.
• reimbursement for certain educational expenses - including tuition.
• discretionary bonuses or commission payments.
• relocation.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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