{"title": "AIML - Staff Machine Learning Engineer/Scientist, Siri and Information Intelligence", "summary": "Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an R&D team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products \u2013 including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users\u2019 questions. Our team is responsible for training and deploying these models at scale, using the latest advances in model compression and inference-optimized hardware.", "description": "As a member of our fast-paced group, you\u2019ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and some engineering skills. This role will have the following responsibilities:\n\n* Analyzing search ranking and relevance requirements issues and opportunities\n* Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models\n* Understanding product requirements then translating them into modeling tasks and engineering tasks\n* Building machine-learned models for search relevance ranking query understanding and questioning\n* Publishing and present in several top NLP conferences like EMNLP and NAACL", "key_qualifications": "Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval.\nMastery of one of following languages: Python, Go, Java, C++.\nStrong coding skills and solid understanding of algorithms, data structures, and distributed system design.\nExcellent interpersonal skills and demonstrated ability to work independently as well as in a team.\nExcellent practical skills with and state of the art knowledge of major machine learning algorithms.", "preferred_qualifications": "", "education_experience": "BS, MS, or Ph.D in Computer Science, Machine Learning, or related field", "additional_requirements": "Experience with large scale search and machine learning systems\nExcellent data analytics skills", "pay_benefits": "At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple employees also have the opportunity to become an Apple shareholder through participation in Apple\u2019s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple\u2019s Employee Stock Purchase Plan. You\u2019ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses \u2014 including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.", "company": "apple"}