{"id":2133279,"url":"https://alion.io/job/apple-machine-learning-engineer-ai-evaluation-llm-systems-2","title":"Machine Learning Engineer - AI Evaluation & LLM Systems","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":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":173000,"max_usd":394000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":290},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-07-29T19:42:27Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-10T00:13:37Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Join the team building the evaluation systems that enable Apple’s next generation of AI experiences. As a Machine Learning Engineer, you will develop scalable infrastructure, intelligent evaluators, and data-driven methodologies that measure and improve the quality of large language models and multimodal AI systems used across Apple products.\nYou’ll partner closely with ML researchers, software engineers, and product teams to design novel evaluation techniques, analyze model behavior, and translate research into production-ready systems. This role requires strong engineering fundamentals, a passion for machine learning, and the curiosity to solve challenging problems at the intersection of AI, data, and software engineering.\nIf you’re excited about building the tools that help define the future of AI quality at Apple, we’d love to hear from you.\nDescription\nAs a Machine Learning Engineer, you will build the systems that measure and improve the quality of AI experiences used by millions of people. You will develop machine learning models, evaluation frameworks, and scalable infrastructure that enable teams to understand model behavior, identify regressions, and accelerate the development of large language models and multimodal AI. Working closely with researchers, software engineers, and product teams, you will transform cutting-edge research into production-ready solutions, analyze large-scale datasets, and develop new approaches for benchmarking and improving AI quality. 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