The Answers, Knowledge and Information team at Apple is looking to revolutionize how users access information on their devices by improving personalized search applications and result ranking, while maintaining user privacy.
Requirements
- 6+ years industry experience in building Machine Learning or ML evaluation systems at scale
- Strong software engineering skills in mainstream programming languages, such as: Python, C/C++
- 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
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.
- Drive solutions for data generation, data quality assessment, offline and online metrics, and methods for statistical model and search quality assessment.
Other
- Strong communication skills and ability to drive solutions in collaboration with partner teams
- Bachelors in Computer Science, Engineering, Statistics or related field
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience
