About the job
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!
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.
Qualifications
Minimum
8+ years industry experience in Machine Learning, NLP and applying these techniques at scale
Strong software engineering skills in mainstream programming languages, such as: Python, Go, C/C++
Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.)
Strong communication skills
Bachelors in Computer Science
Preferred
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