{"id":3870702,"url":"https://alion.io/job/apple-ml-engineer","title":"ML Engineer","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":89,"open_postings":835,"ghost_share":0,"stale_share":0.218,"repost_share":0.006,"time_to_fill_p50_days":90,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Cork, Ireland"],"countries":["IE"],"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":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-11-06T11:58:54Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T07:14:14Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Apple's Software Localization & Release Engineering team makes sure our software works well for people in every language and region. We're looking for an ML Engineer to apply LLMs and machine learning to how we test and release software for our international users.\nYou'll own the model-facing side of AI-powered quality systems: designing LLM-based solutions, evaluating their accuracy, and improving them. Your goal is to make these systems reliable, efficient and trustworthy. You'll work on a fast-moving effort with real internal users that depend on it.\nDescription\nYou'll work alongside automation, quality and localization engineers, and with international quality engineers, translators and project managers across several time zones. Your work will help Apple ship better software to people around the world.\nMinimum Qualifications\nExperience building production applications on top of LLMs, including tool use, structured output or agentic designs.\nHands-on experience with prompt engineering and systematic model evaluation, such as writing rubrics or graders and measuring precision and false-positive rates.\nStrong programming skills in Swift / Python, and experience building backends for ML applications.\nAbility to improve model behavior iteratively, based on measured results.\nPreferred Qualifications\nHands-on experience fine-tuning or training models.\nExperience with computer vision or object detection, such as detecting elements in screenshots or documents.\nExperience with open-weights models and local inference.\nExperience with multi-agent systems.\nFamiliarity with LLM serving infrastructure, such as model gateways, retries and cost-aware model selection.\nExperience building feedback loops that turn 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