{"id":4066495,"url":"https://alion.io/job/apple-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4","title":"AIML - Sr. Machine Learning Engineer - Data and ML Innovation","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":88,"open_postings":1305,"ghost_share":0.002,"stale_share":0.113,"repost_share":0.247,"time_to_fill_p50_days":149,"computed_at":"2026-11-15T07:52:55Z"}},"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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2025-07-25T01:04:13Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T07:07:09Z","board_verified":true,"closed_at":null,"days_open":478,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":478},"description":"Would you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to build for billions of users worldwide.\nDescription\nAs a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem.\nYour responsibilities will extend to designing and developing a comprehensive multi-modal data generation and curation framework for foundation models at Apple. You will also contribute to building robust model evaluation pipelines that support continuous improvement and performance assessment. In addition, the role involves analyzing multi-modal data to better understand its influence on model behavior and outcomes. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.\nYOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING:\nDesigning self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification.\nApplying data selection techniques such as novelty detection and active learning across multi modalities to improve data efficiency and reduce distributional gaps.\nModeling data distributions using ML/statistical methods to uncover patterns, reduce redundancy, and handle out-of-distribution challenges.\nRapidly learning new methods and domains as needed, and guiding product teams in selecting effective ML solutions.\nMinimum Qualifications\nDeep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning.\nStrong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of).\n5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.‘\nPreferred Qualifications\nDeep understanding of multi-modal foundation models.\nStaying up-to-date with emerging trends in generative AI and multi-modal LLMs.\nThe ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.\nDemonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).\nTrack records of adopting ML to solve cross-disciplinary problems.","description_format":"text","description_chars":3536,"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":["Artificial Intelligence","Operating Systems","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-11-11T11:26:07Z"},{"event":"close","at":"2026-11-11T22:29:36Z"},{"event":"reopen","at":"2026-11-15T01:40:48Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.627,"p_room":0.28,"age_days":478,"expected_fill_days":149,"reasons":["conf:0","win:tail","crowd:brand"],"computed_at":"2026-11-15T07:52:55Z"},"pay":null,"html_url":"https://alion.io/job/apple-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4","json_url":"https://alion.io/job/apple-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4.json","meta":{"generated_at":"2026-11-15T18:30:02Z","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":11403,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4"},{"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-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-aiml-sr-machine-learning-engineer-data-and-ml-innovation-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4066495}},{"tool":"search_jobs","arguments":{"company":"apple.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4066495},"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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