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

Apple • Santa Clara, CA

74d

About The Position

The Siri and Information Intelligence 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 using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products.

Requirements

• In-depth knowledge and expertise in training, evaluating, and applying Deep learning models, Large Language Models for production systems.
• Extensive experience in building production ML systems and applications in search, recommendation systems, or information retrieval.
• Ability to quickly prototype ideas/solutions, and perform critical analysis.
• Background in: search relevance and ranking, Q&A, personalization, user behavior/response modeling, or data-driven decision-making.
• Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience.

Responsibilities

• Contribute to research, design, implementation, and evaluation of models to enhance quality and performance, and to support key functions for Personal Q&A.
• Implement and extend LLM models with fine-tuning and RLXF methodologies. Develop high quality data pipelines to support these methodologies.
• Establish target quality metrics and evaluation sets for the team to track and improve. Design novel experiments to validate/refute hypotheses and support team wide decision making.
• Collaborate with partner teams to define product 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 integrate 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