{"id":3490879,"url":"https://alion.io/job/apple-staff-sr-ml-engineer-indexing-infrastructure","title":"Staff / Sr. ML Engineer, Indexing Infrastructure","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":861,"ghost_share":0,"stale_share":0.171,"repost_share":0.002,"time_to_fill_p50_days":95,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":273000,"max_usd":542000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":890},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Cassandra","optional":true},{"name":"Google Bigtable","optional":true},{"name":"HBase","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-29T22:01:16Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T03:52:54Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.\nDo you want to make Siri and Apple products smarter for our users? The MLPT & Infra teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.\nDescription\nAs part of this group, you will build the storage and compute foundation behind one of the most exciting high-performance computing environments: trillions of records, petabytes of data, and the systems that turn them into search and Apple Intelligence experiences that delight our customers every day.\nMinimum Qualifications\nStrong coding skills and a solid computer science background in algorithms, data structures, and distributed systems\n5+ years experience designing, building, and operating large-scale distributed systems such as databases, storage platforms, or data processing frameworks\nHands-on experience with petabyte-scale batch data processing (MapReduce, Spark, or similar)\nProficiency in cloud-native architectures and compute orchestration on AWS (S3, EC2, EKS) and Kubernetes\nExcellent interpersonal skills, with the ability to work independently and drive cross-team efforts\nMS or PhD in Computer Science or related field\nPreferred Qualifications\nDeep familiarity with columnar and lakehouse formats (Parquet, Iceberg), and the judgment to choose between them at scale\nExperience with storage internals: compaction, metadata and manifest management, indexing, and query performance tuning\nExperience with workflow orchestration (e.g., Argo) and resource scheduling on shared Kubernetes clusters\nExperience with key-value or online serving stores (e.g., Bigtable, HBase, Cassandra) and multi-cloud data movement\nExperience with search indexing, machine learning, or NLP is a 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