AIML - Staff Machine Learning Engineer - Answers, Knowledge u0026 Information (AKI)

Apple • Cupertino, CA

74d

About The Position

The Answers, Knowledge and Information team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for building scalable, high quality solutions to evaluate personalized search applications. In this role, will directly impact how we assess and improve the quality of novel search applications by driving solutions for data generation, data quality assessment, offline and online metrics, and methods for statistical model and search quality assessment. Your work will impact the quality of innovative Search experiences across Apple products. In this role you will have the opportunity to develop data generation methodologies for personalized model and search systems evaluations, online and offline metrics for quality assessment and build scalable systems for comprehensive evaluation. Our team is responsible for models and evaluation of search experiences that answer user's questions using their personal documents with privacy at the forefront.

Requirements

• Experience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval.
• Experience in data collection, data generation and/or data quality assessment of language, image or multi-modal data.
• Ability to quickly prototype ideas and solutions, and perform critical analysis.
• Strong skills for quality metrics development; interpretation of evaluations; and presentation to executive audience.
• Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience.

Responsibilities

• Design and implement novel data generation and data quality assessment methods to support modeling and evaluation of personal Q&A.
• Build scalable, automated systems for large scale, end-to-end evaluation of models and search powered systems.
• Design and implement offline and online metrics to assess product and component level quality for personal Q&A.
• Collaborate with partner teams to define data and evaluation requirements and priorities, and to explore opportunities for enhancements to the Personal Q&A stack.
• Develop long-term technical vision for Personal Q&A quality; identify problem areas and drive solutions as part of a larger roadmap.

What This Job Offers

• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees