{"id":2130258,"url":"https://alion.io/job/apple-senior-machine-learning-engineer","title":"Senior Machine Learning 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":"B","score":75,"open_postings":925,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":137000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2002},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"DeepSpeed","optional":false},{"name":"DPO","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"NLP","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"vLLM","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Core ML","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Metal","optional":true},{"name":"ONNX","optional":true},{"name":"Synthetic Data","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Tool Use","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-08T17:22:56Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T00:06:23Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"oin the Siri team at Apple! Build and contribute to a product and company that is building products, personal devices, and software designed to enrich people's lives. Work on building and advancing the world's most popular intelligent assistant that helps millions of people get things done - just by asking.\nGlobal Siri works to bring Siri to the next level of intelligence and capability across all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple devices such as iPhone, iPad, Apple Watch, Mac, AirPods, HomePod, Vision Pro, and Apple TV. On the Global Siri team, we develop ML models and algorithms for both on-device and server-side applications, ultimately delivering product-critical models that surprise and delight customers around the world in the languages they speak. We build high-efficiency on-device Large Language Models and advanced parameter-efficient fine-tuning technologies that deliver personal, contextual, and highly private user experiences at scale. We are seeking an experienced and technically deep Machine Learning Engineer to lead the modeling, adaptation, and engineering optimization of on-device models that power features used by hundreds of millions of people worldwide.\nDescription\nAs a Machine Learning Engineer focusing on on-device LLMs and adapter technologies, you will tackle some of the most challenging problems in modern applied machine learning: delivering state-of-the-art agentic capabilities, reasoning, and task completion under strict on-device compute, memory, latency, and context constraints.\nYou will lead the end-to-end lifecycle of on-device LLM adapters and sub-models-ranging from training recipe formulation, data curation, and architecture tuning to rigorous metric evaluation, error analysis, and on-device runtime optimization. You will work closely with cross-functional teams including Foundation Model teams and Product teams to scale Apple Intelligence across diverse languages and domains.\nMinimum Qualifications\n5+ years of hands-on industry experience building, training, and shipping production-grade deep learning and NLP systems at scale.\nDeep Hands-on LLM Experience: Proven track record in training and fine-tuning Large Language Models (e.g., SFT, DPO/RLHF, PEFT/LoRA). Strong intuitive understanding of model behavior, loss dynamics, and scaling laws.\nAdvanced Engineering Skills: Exceptional coding skills in Python and proficiency with modern deep learning frameworks (PyTorch, DeepSpeed, Megatron-LM, Hugging Face, vLLM). Familiarity with high-performance C++ or Swift runtime integration is a plus.\nData & Evaluation Rigor: Solid experience designing domain-specific datasets, synthetic data generation pipelines, automated evaluation harnesses, and conducting systematic root-cause failure analysis.\nCollaboration & Execution: Strong ownership, cross-functional communication, and project management skills; ability to navigate complex engineering constraints and deliver against tight product deadlines.\nPreferred Qualifications\nOn-Device / Edge Deployment Experience: Deep understanding of edge-AI constraints and deployment pipelines (e.g., CoreML, ONNX, TensorRT-LLM, Apple Neural Engine / Metal optimization).\nAgentic Modeling & Tool-Calling: Direct experience building agentic workflows, multi-turn reasoning, and function/tool-calling capabilities in compact/dense models (e.g., 2B-9B parameter class).\nProven research track record via publications in top-tier conferences (NeurIPS, ICML, ICLR, ACL, EMNLP) or demonstrated history of shipping industry-leading GenAI products.","description_format":"text","description_chars":3703,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-10-09T00:54:32Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.459,"p_room":1,"age_days":1,"expected_fill_days":49,"reasons":["conf:2","stale_co","evergreen","wave","urgency","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/apple-senior-machine-learning-engineer","json_url":"https://alion.io/job/apple-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-11T03:52:32Z","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","counted_by":"address","units_charged":1,"used_today":1978,"day_limit":5000,"remaining_today":3022,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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-senior-machine-learning-engineer"},{"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-senior-machine-learning-engineer"},{"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-senior-machine-learning-engineer"},{"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-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-senior-machine-learning-engineer"}]}