{"id":2207434,"url":"https://alion.io/job/apple-machine-learning-engineer-evaluation-agentic-search-capabilities","title":"Machine Learning Engineer, Evaluation, Agentic Search Capabilities","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"B","score":75,"open_postings":925,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":232000,"max_usd":440000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1129},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"NLP","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-10-09T22:08:53Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-12T06:12:51Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Agentic Search 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 that powers experiences across Siri, Spotlight, Mail, 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.\nDescription\nWe are looking for a senior Machine Learning Engineer with a passion for building scalable, high quality solutions to evaluate personalized agentic search applications. In this role, you will directly impact how we assess and improve the quality of novel agentic search applications by driving solutions for data generation, data quality assessment, offline and online metrics, and methods for statistical model and search quality assessment. Your work will impact the quality of innovative Personalized Agentic Search experiences across Siri and Apple products.\nIn this role you will have the opportunity to build scalable systems for comprehensive evaluation of personalized model and search systems, develop data generation and curation methodologies to support evaluations, and design online and offline metrics for product quality assessment. Our team is responsible for models and evaluation of search experiences that answer user’s questions using their personal documents with privacy at the forefront.\nMinimum Qualifications\n6+ years industry experience in building Machine Learning or ML evaluation systems at scale.\nStrong software engineering skills in mainstream programming languages, such as: Python, C/C++.\nAbility to quickly prototype ideas and solutions, and perform critical analysis.\nStrong communication skills and ability to drive solutions in collaboration with partner teams.\nBachelors in Computer Science, Engineering, Statistics or related field.\nPreferred Qualifications\nExperience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval.\nExperience in data collection, data generation and/or data quality assessment of language, image or multi-modal data.\nStrong skills for quality metrics development; interpretation of evaluations; and 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