Apple is looking to revolutionize the way hundreds of millions of people access information on their devices while keeping user privacy at the forefront, and is seeking a senior Machine Learning Engineer to evaluate personalized search applications.
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.
Other
- Bachelors in Computer Science, Engineering, Statistics or related field
- Strong communication skills and ability to drive solutions in collaboration with partner teams
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition
