Senior Machine Learning Engineer, Evaluation, Agentic Search Capabilities
Apple· Machine Learning and AI
Cupertino, CA$184.7k - $324.8kfull-timePosted 1w ago
About the role
Senior ML Engineer focused on evaluation of personalized agentic search applications within Apple’s Agentic Search team. Responsible for data generation, data quality assessment, offline/online metrics, and statistical model and search quality assessment to advance personalized search experiences across Siri, Spotlight, Mail, Messages, and more, with privacy at the forefront.
Responsibilities
- Build scalable, automated systems for large scale, end-to-end evaluation of models and search powered systems.
- Design and implement novel data generation and data quality assessment methods to support modeling and evaluation of personal agentic search.
- Design and implement offline and online metrics to assess product and component level quality for personal agentic search.
- Collaborate with partner teams to define data and evaluation requirements and priorities, and to explore opportunities for enhancements to the personal search stack.
- Develop long-term technical vision for personal search quality; identify problem areas and drive solutions as part of a larger roadmap.
Qualifications
- 6+ years industry experience in building Machine Learning or ML evaluation systems at scale.
- Strong software engineering skills in mainstream programming languages, such as: Python, C/C++.
- Ability to quickly prototype ideas and solutions, and perform critical analysis.
- Strong communication skills and ability to drive solutions in collaboration with partner teams.
- Bachelors in Computer Science, Engineering, Statistics or related field.
- Experience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval.
- Experience in data collection, data generation and/or data quality assessment of language, image or multi-modal data.
- Strong skills for quality metrics development; interpretation of evaluations; and presentation to executive audience.
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience.
Skills
Required:Machine Learning EvaluationSoftware EngineeringData Generation & Quality AssessmentEvaluation MetricsCommunication & Collaboration
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- reimbursement for certain educational expenses — including tuition
- discretionary bonuses or commission payments as well as relocation (role may be eligible)
- stock programs including Employee Stock Purchase Plan (ESPP) and discretionary RSU awards
Last updated Oct 16, 2026. Interested? Apply on the company site.
About Apple
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Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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