{"title": "AIML - Machine Learning Engineer or Scientist, Machine Learning Platform & Infrastructure", "summary": "Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there\u2019s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.", "description": "We design and build infrastructures to support features that empowers billions of Apple users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You\u2019ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.", "key_qualifications": "Extensive experience in ML, GenAI, LLM\nExperience driving projects from conception to market\nExtensive experience designing/architecting scalable user-facing products\nStrong coding skills", "preferred_qualifications": "Experience with petabyte scale data processing & building data pipelines\nExperience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes\nExperience designing and building scalable distributed services\nExperience with machine learning algorithms and tools\nExcellent interpersonal skills able to work independently as well as in a team", "education_experience": "MS or PhD in Computer Science or related experience", "additional_requirements": "", "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 $207,800 and $378,700, 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"}