{"id":3191462,"url":"https://alion.io/job/apple-applied-research-engineerscientist","title":"Applied Research Engineer/Scientist","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":"A","score":91,"open_postings":867,"ghost_share":0,"stale_share":0.161,"repost_share":0.002,"time_to_fill_p50_days":97,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":225000,"max_usd":500000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Pre-training","optional":true}],"status":"closed","first_seen_at":"2026-10-23T23:10:24Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-29T23:28:11Z","board_verified":false,"closed_at":"2026-10-29T23:28:11Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Join the team redefining what a deeply personal and integrated assistant can be.\nAs part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.\nAt Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.\nDescription\nWe are seeking an Applied Research Engineer to work on a core team with breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help shape next-generation intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences. This unique opportunity places you at the forefront of innovation, working on projects that redefine user experiences through advanced machine learning.\nMinimum Qualifications\nBachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience\nExperience with machine learning through hands-on work in product development, prototyping, or research environments\nStrong programming skills with experience in machine learning development\nUnderstanding of transformer-based models\nAbility to communicate technical concepts to team members\nExperience with prototyping in ML/AI contexts\nPreferred Qualifications\nKnowledge of large language models (LLMs) and multi-modal foundation models\nExperience with pre-training, fine-tuning, or performance optimization\nFamiliarity with AI systems capable of reasoning and task execution\nCreativity and curiosity about applying AI capabilities to product experiences\nAbility to implement 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