{"id":4041278,"url":"https://alion.io/job/apple-machine-learning-engineering-intern-personal-agentic-search","title":"Machine Learning Engineering Intern, Personal Agentic Search","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":93,"open_postings":358,"ghost_share":0.008,"stale_share":0.022,"repost_share":0.064,"time_to_fill_p50_days":122,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embeddings","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Tokenization","optional":false},{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-11-10T20:44:14Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:13:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Apple, we build products that become part of people's lives. Every day, people rely on their devices to hold their messages, documents, photos, and notes. The Personal Agentic Search team uses Apple Intelligence to help them find and act on that information in natural, intuitive ways.\nWe are engineers and researchers building AI-powered agents that understand a person's context, reason over their personal data, and retrieve exactly what they need, all while preserving the privacy Apple users expect. As an intern, you will help build and evaluate the machine learning systems behind these experiences and see your work shape features that millions of people could use.\nDescription\nThis internship sits at the intersection of NLP, large language models, and information retrieval. You will work on real projects alongside experienced engineers and researchers, helping turn research ideas into robust, user-facing experiences. We are looking for someone with a strong foundation in computer science and machine learning, and a real curiosity about how language models and search systems work. You don't need to be an expert in every area, but you should be excited about applying ML to hard, user-centered problems.\nMinimum Qualifications\nCurrently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.\nStrong foundation in computer science fundamentals (data structures, algorithms, software design) and proficiency in at least one programming language such as Python, Swift, C++, or Java.\nSolid foundation in machine learning and working knowledge of NLP fundamentals (tokenization, embeddings, language modeling, text classification), gained through coursework, research, personal projects, or professional experience.\nStrong communication and collaboration skills, with a desire to work in a team environment.\nPreferred Qualifications\nFamiliarity with LLM architectures (e.g., Transformers, attention mechanisms) and how they are trained and applied.\nFamiliarity with search and retrieval algorithms, such as indexing, ranking, nearest-neighbor search, and relevance evaluation.\nExperience with agentic LLM workflows, such as planning, tool calling, and multi-step reasoning.\nExperience with on-device machine learning or privacy-preserving ML approaches.\nExperience designing experiments, metrics, and datasets to evaluate model or search quality.\nProficiency in more than one of Python, Swift, and C++.","description_format":"text","description_chars":2446,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-11-10T22:13:46Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Skilled Worker, Graduate Trainee, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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