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Senior Machine Learning Engineer/Scientist, AI and Information Intelligence
1 month ago
Join Apple's AIML Information Intelligence team and contribute to groundbreaking technology for artificial intelligence, machine learning, and natural language processing. Our universal search engine powers search features across Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. As a member of this group, you will develop large-scale machine learning and deep learning models to improve query understanding and ranking of search. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products.
Key Responsibilities
• Develop and fine-tune domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products
• Conduct applied research to transfer cutting-edge research in generative AI to production-ready technologies
• Build machine-learned models for entity linking, intent classification, entity recognition, search relevance, ranking, and query understanding problems
• Integrate search functions into Apple products, such as Siri, Spotlight, Safari, Messages, and Lookup
• Build end-to-end production systems, including query understanding and ranking to power search
Requirements
• Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing, or data mining
• Proficiency in one of the following languages: Python, Go, Java, C++
• Excellent knowledge and good practical skills in major machine learning algorithms
• Excellent data analytical skills
• Good interpersonal skills and team player
Benefits
• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Eligibility for discretionary bonuses or commission payments
Apple is an Equal Opportunity Employer
Apple is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
