{"id":1741007,"url":"https://alion.io/job/apple-senior-machine-learning-engineer-apple-cloud-ai","title":"Senior Machine Learning Engineer, Apple Cloud AI","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":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":208000,"max_usd":394000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":817},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"AWS","optional":true},{"name":"Cassandra","optional":true},{"name":"DPO","optional":true},{"name":"DynamoDB","optional":true},{"name":"Feast","optional":true},{"name":"Flink","optional":true},{"name":"GCP","optional":true},{"name":"GRPO","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"Quantization","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"Redis","optional":true},{"name":"Reward Modeling","optional":true},{"name":"RLHF","optional":true},{"name":"SFT","optional":true},{"name":"Spark","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:38:24Z","employer_posted_date":null,"last_verified_at":"2026-10-02T21:38:24Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Apple is a place where extraordinary people gather to do their best work. Together we build products and experiences people love. The Apple Services Engineering (ASE) organization builds and operates the systems and infrastructure that power Apple's services at scale.The Apple AI platform within ASE enables teams across Apple to build, train, optimize, and deploy AI systems at scale. Our team builds the optimization and intelligence layer for frontier AI, making frontier class of models work better, cheaper, and faster through managed, serverless capabilities that span the full AI lifecycle: data and feature engineering, embeddings and retrieval, model training and fine-tuning, inference optimization and routing, prompt optimization, evaluation, and governance.\nDescription\nWe are looking for an ML engineer who is excited about building managed platform services at the intersection of ML, distributed systems, and production engineering.\nMinimum Qualifications\n3+ years of experience building production ML systems or ML infrastructure\nStrong programming skills in Python and/or Rust/Java\nUnderstanding of end-to-end machine learning workflows - from data preparation through training, evaluation, and deployment\nExperience with distributed systems and large-scale data processing\nExperience with model serving, inference optimization, or ML pipeline engineering\nExperience building APIs and services that other engineers consume\nStrong collaboration and communication skills\nComfortable navigating ambiguity in fast-moving areas\nBS, MS, or PhD in Computer Science or equivalent practical experience\nPreferred Qualifications\nExperience with LLM inference optimization (batching, quantization, KV caching, tensor parallelism)\nExperience with model serving frameworks (vLLM, TensorRT, Ray Serve, or similar)\nExperience with embedding models and retrieval systems - fine-tuning encoders on graded or contrastive objectives, pooling strategies, dimensionality reduction for serving cost, vector databases, and retrieval evaluation (NDCG, recall, graded relevance)\nExperience with fine-tuning and alignment workflows (SFT, DPO, LoRA, RLHF, RLVR, GRPO, reward modeling)\nExperience with feature engineering and feature serving platforms (e.g. Feast, Tecton, Hopsworks), distributed data processing frameworks (e.g. Spark, Flink, Ray), offline stores (e.g. Iceberg, Delta, Lance), and online stores (e.g. Redis, Cassandra, DynamoDB)\nExperience with Ray, Kubernetes, and cloud GPU infrastructure (AWS, GCP)\nExperience with ML governance, lineage, or compliance systems","description_format":"text","description_chars":2571,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","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":"2026-10-03T03:16:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,350 · green card filings: 37","filings_12m":6350,"filings_prev_12m":6527,"green_card_filings_12m":37,"median_offered_wage_usd":177355,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2959}],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":22,"reasons":["seen:1","urgency","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/apple-senior-machine-learning-engineer-apple-cloud-ai","json_url":"https://alion.io/job/apple-senior-machine-learning-engineer-apple-cloud-ai.json","meta":{"generated_at":"2026-10-05T00:54:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1153,"day_limit":5000,"remaining_today":3847,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}