【Apple】Language Engineer (Korean+Japanese), Siri Understanding
仕事内容
We are looking for proven ability to be creative, take ownership of a project, superior technical expertise, and a knack for solving problems that stump most engineers. Having worked on shipping products and being familiar with the rush to the finish line is highly desired. This is an opportunity to durably shape the future of human - computer interaction, and walk the state-of-the-art.
Specific responsibilities will include:
- Engineer natural language understanding and speech components specific to Japanese & Korean, utilizing data science and machine learning expertise.
- Develop creative solutions to complex issues; automate wherever possible, integrate workflows across diverse systems.
- Work cross-functionally with other teams at Apple across the gamut of components (ASR, NLU, TTS, infrastructure, platforms, data science).
- Lead annotation efforts and define language specific representations, conventions and techniques.
- Apply a data driven/metrics-based approach towards prioritising and shipping features.
応募資格(必須経験など)
Minimum Qualifications
• Native speaker fluency (or comparable) in Japanese and Korean and ability to work in an English speaking environment.
• Solid software engineering fundamentals, including proficiency in at least one object-oriented programming language.
• Strong natural language processing or machine learning skills (e.g., deep learning, classification, regression, ranking, generation).
• Analytic mindset and obsession for data.
• Outstanding problem solving and critical thinking skills and getting-things-done attitude.
• Excellent verbal and written communication, team player mentality and collaborative in nature.
• B.S/MSc in Computer Science or related fields, or equivalent experience.
Preferred Qualifications
• Consistent record in shipping user facing products and features in multiple languages and markets.
• Demonstrated ability to write thoughtful, maintainable code under tight deadlines in a fast paced environment.
• Practical work experience in NLP, ML, or related sub-fields.
• Proven ability of using creative approaches for solving complex problems.
• Quick prototyping, scripting and tool development (Python, Ruby, Shell, ...).
• Interest in diversity and cultural differences and how they affect user experience