Job Description
Would you like to play a part in shipping groundbreaking technology for large-scale systems, natural language, and artificial intelligence? Join the Siri ML Systems Evaluation Engineering (MLSEE) team at Apple! We interact with various engineering teams to identify issues and test requirements, drive the quality of Siri features, and build frameworks that support evaluation and qualification. You will work with the people who craft the intelligent assistant that helps millions get things done — just by asking!
As a senior manager, you will play a critical role in driving the evaluation methods of various platforms and product areas for Siri. You will drive coverage and fidelity of testing and evaluation for pre-ship hill climbing and readiness for a wide range of AIML products, including Apple Intelligence features. You will craft new and leverage existing methodologies and frameworks to validate the end-to-end quality of new search features. Working alongside SW and ML engineering product teams as a critical partner, you will utilize a suite of available libraries and frameworks - test automation, LLM-based evaluators, and failure analysis tools - and drive requirements for improving those. You will be responsible for benchmarking performance for new features/platforms and driving improvement recommendations.
Description
We are seeking an experienced senior engineering manager to lead Siri's intelligent services and platforms (iPhone, HomePod, CarPlay, Apple Watch, iPad, MacBook) evaluation and qualification. You will be responsible for partnerships with search engineering that will drive the test and evaluation strategy, frameworks, performance testing framework, and solutions that can scale. You will work alongside SW and ML engineering search teams as a critical partner. You will need to drive efficiency by adopting LLMs for testing and evaluation, including evaluators, auto-triage of issues, and auto-error-attribution.
This role will collaborate with Search Engineering teams, create a quality strategy in partnership with the roadmap, work on client integration and performance automation frameworks, and analyze results, ranking, and recall metrics as part of the evaluation. This is a fast-paced role with high visibility, impact, and influence in building one of the most advanced AI systems in the industry.
Minimum Qualifications
- Minimum of 8+ years of leadership experience
- Experience with Machine Learning development and search evaluation
- Experience with building and shipping products at scale
- Proven and consistent track record of forming partnerships to solve complex technical problems at scale, ideally for search-based products with a global customer base
- MS/PhD in Machine Learning, Computer Science, or a related field
Key Qualifications
Preferred Qualifications
- Passion for product and customer experience
- Extensive experience delivering large-scale products or platforms, leveraging cross-functional partnerships to drive outcomes across multiple organizations
- Excellent understanding of an ML-based product lifecycle.
- Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics.
- Strong history of delivering innovation
- Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
- Experience with VP-level presentations and reporting
Education & Experience
Additional Requirements
Pay & Benefits
- 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 $252,400 and $378,700, 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 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 take affirmative action to ensure 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.
We are seeking an experienced senior engineering manager to lead Siri's intelligent services and platforms (iPhone, HomePod, CarPlay, Apple Watch, iPad, MacBook) evaluation and qualification. You will be responsible for partnerships with search engineering that will drive the test and evaluation strategy, frameworks, performance testing framework, and solutions that can scale. You will work alongside SW and ML engineering search teams as a critical partner. You will need to drive efficiency by adopting LLMs for testing and evaluation, including evaluators, auto-triage of issues, and auto-error-attribution.
This role will collaborate with Search Engineering teams, create a quality strategy in partnership with the roadmap, work on client integration and performance automation frameworks, and analyze results, ranking, and recall metrics as part of the evaluation. This is a fast-paced role with high visibility, impact, and influence in building one of the most advanced AI systems in the industry.
Job Tags
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