About this role
Understanding natural language is at the core of Google’s technologies. The Natural Language Understanding (NLU) team in Google Research guides, builds, and innovates methodologies around semantic analysis and representation, syntactic parsing and realization, morphology and lexicon development. Our work directly impacts Conversational Search in Google Now, the Knowledge Graph, and Google Translate, as well as other Machine Intelligence research.
As an Analytical Linguist, you will collaborate with Researchers and Engineers in NLU/Machine Intelligence to achieve high quality data that improves our ability to understand and generate natural language systems. To this end, you will also be managing a team of junior linguists and vendors to derive linguistic databases as well as propose direction for approaches to language specific problems.
Target languages: Thai and Indonesian
Responsibilities
Work closely with Researchers and Engineers by providing linguistic expertise and direction for language specific NLP projects.
Create annotation guidelines and instructions for vendors and junior linguists, and recruit, hire and train linguistic experts for short term, high impact projects.
Manage and oversee a team of junior linguists, vendors and/or remote workers, and design quality control methodology, experiments, implementation and improvements.
Train and evaluate NLP systems for small projects and propose solutions, and monitor data acquisition and curation.
Analyze data pipeline and annotator workflow, scheduling to optimize productivity and quality control; establish and track key performance metrics across the team.
Company:
Qualifications:
Minimum qualifications
PhD in Linguistics, or Computational Linguistics or equivalent practical experience.
2 years of experience in NLP research or related fields.
Experience in core areas such as semantics, syntax, morphology, and phonology, as well as applied areas in NLP and/or lexicography.
Preferred qualifications
Experience collaborating internationally with multiple partners on long term and complex projects, and experience in managing people and developing projects or curricula from concept to completion.
Proficiency with scripting languages, web development, and working in a Linux environment.
Familiarity with experimental design, research methodologies, qualitative and quantitative analysis, and knowledge of semantics, syntax, grammar, morphology, and lexicon development for several language families.
Independent worker with the ability to effectively operate with flexibility in a fast paced, constantly evolving team environment. Team player with exceptional interpersonal and solution-oriented attitude.
Creative thinker with strong problem solving and analytical skills.
Language requirements:
Native-level fluency in a target language and professional-level fluency in English.
Educational level:
Ph. D.
Level of experience (years):
Mid Career (2+ years of experience)