{"id":3767084,"url":"https://alion.io/job/apple-staff-machine-learning-engineer-commerce-growth-intelligence","title":"Staff Machine Learning Engineer — Commerce & Growth Intelligence","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":94,"open_postings":88,"ghost_share":0,"stale_share":0.023,"repost_share":0.023,"time_to_fill_p50_days":128,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Core ML","optional":true},{"name":"Edge AI","optional":true},{"name":"Flink","optional":true},{"name":"Go","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"Python","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"Spark","optional":true},{"name":"Swift","optional":true}],"status":"live","first_seen_at":"2026-11-04T19:12:52Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T17:23:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Commerce & Growth Intelligence team is looking for a Staff Machine Learning Engineer to build the systems that bring ML capabilities into customer-facing products.\nOur work spans model inference, distributed ML workloads, data processing, and integration with cloud services and on device intelligence on Apple devices. You’ll help shape how these components fit together and build the software that connects them-from making a model available through a reliable inference service to enabling a fine-tuning workflow to handle larger datasets and workloads. Your primary focus will be model inference and shared ML infrastructure, with opportunities to extend that work into training, fine-tuning, data processing, and device-to-cloud integration.\nThis is a hands-on technical leadership role with ownership of architectural decisions and delivery across teams.\nDescription\nYou’ll lead engineering projects across the AI/ML stack, working with modeling, infrastructure, and product teams to turn emerging capabilities into production software. Modeling partners lead model architecture and quality evaluation; you’ll lead the engineering systems and integrations that support training, deployment, and product use, while collaborating on model iteration and fine-tuning. You’ll combine depth in a core area with the ability to work across system boundaries. The work also includes choosing and extending open-source infrastructure, designing interfaces between components, and resolving practical constraints involving performance, reliability, compute resources, and deployment environments.\nMinimum Qualifications\nExperience shipping production ML systems or ML-powered applications, with ownership of significant architecture and implementation decisions.\nDeep expertise in at least one relevant area, such as model inference, distributed computing, ML infrastructure, or data systems for ML.\nStrong programming and software engineering skills, including system design, API design, testing, and debugging complex software.\nPractical experience integrating ML models into software systems and understanding their execution and deployment requirements.\nA track record of leading technical initiatives across teams, resolving architectural tradeoffs, and delivering working systems.\nExperience investigating performance and reliability problems and driving improvements based on measured results.\nAbility to communicate technical decisions clearly, build alignment across disciplines.\nBachelor’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering and 12+ years of relevant work experience.\nPreferred Qualifications\nDistributed ML execution and model serving using Ray, Ray Serve, or comparable technologies.\nModel optimization and deployment using inference runtimes such as ONNX Runtime, Core ML, or comparable systems.\nDistributed training or fine-tuning, including job orchestration, checkpointing, and GPU or other accelerator workloads.\nLarge-scale data processing with Spark, Flink, or comparable tools, including dataset preparation for ML.\nGo for backend services and inference APIs.\nSwift for iOS services, daemons, or on-device ML integration.\nExperience with Python for ML workflows, data processing, tooling, or backend services; experience applying Python to agent workflows and tool integration using LangGraph, Model Context Protocol (MCP), or related technologies is an additional plus.\nApplications that combine on-device capabilities with cloud-based models and services.\nMaster’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering and 8+ years of relevant work experience.","description_format":"text","description_chars":3686,"description_truncated":false,"requirements":{"experience_years_min":12,"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":["Commerce","Operating Systems","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-11-04T20:17:24Z"}],"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":"2026-10-29T16:27:21+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":0,"expected_fill_days":128,"reasons":["conf:4","urgency","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/apple-staff-machine-learning-engineer-commerce-growth-intelligence","json_url":"https://alion.io/job/apple-staff-machine-learning-engineer-commerce-growth-intelligence.json","meta":{"generated_at":"2026-11-05T18:41:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24746,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":12},"rest":"https://alion.io/mcp/rest/get_company?id=12"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapple-staff-machine-learning-engineer-commerce-growth-intelligence"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fapple-staff-machine-learning-engineer-commerce-growth-intelligence"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fapple-staff-machine-learning-engineer-commerce-growth-intelligence"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/apple-staff-machine-learning-engineer-commerce-growth-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-staff-machine-learning-engineer-commerce-growth-intelligence"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3767084}},{"tool":"search_jobs","arguments":{"company":"apple.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3767084},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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