Research Engineer

JOB DESCRIPTION 

ETS Research & Development has an opening for a Research Engineer in the San Francisco branch of the Dialog, Multimodal, and Speech (DIAMONDS) Research Center. The projects in this research center focus on the application of spoken and multimodal dialog systems to assessment tasks, which involves research on robust speech recognition, spoken language understanding, data-driven dialog management, multimodal analytics and assessment, and multimodal biometrics.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next generation spoken and multimodal dialog systems and their application to assessment.

BASIC FUNCTIONS AND RESPONSIBILITIES

• Implement and contribute to the planning of spoken and multimodal dialog system and assessment components including natural language processing (NLP), speech processing, multimodal analytics, and dialog management technology in the scope of complex research projects for ETS researchers, testing program areas, and external clients.

• Consult with experienced research scientists in the application, modification, and documentation of such systems using established technologies, and novel approaches from the research literature.

• Contribute to the planning of the schedule of tasks required to successfully complete such projects.

• Work effectively in a team setting with researchers, testing program areas, and external clients and take an active role in contributing to team discussions and decisions.

• Analyze, design, modify, develop, document and implement technologies for executing complex spoken and multimodal dialog system research and development tasks.

• Identify unexpected problems in the application of NLP, speech, multimodal analytics, and dialog management tools, and develop solutions.

• Consult area- or division-wide on the development of technologies for executing complex spoken and multimodal dialog system research and development tasks.

• Contribute to the evaluation and/or the implementation and support of new spoken and multimodal dialog system methodologies to support research system development.

• Contribute to the preparation of research project proposals and related cost/resource estimates.

• Maintain continuing awareness of recent advances in spoken and multimodal dialog systems, NLP, speech processing, multimodal analytics, machine learning, and software development methodologies.

• Develop technical documentation of spoken and multimodal dialog systems, solutions and results.

• Assist with area-wide staff training and development initiatives through one-on-one mentoring and/or small group training exercises.

Experience and Skills

EDUCATION & EXPERIENCE:

Assistant Research Engineer

Education: A Bachelor's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.

Experience: A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable.

Associate Research Engineer

Education: A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.

Experience: A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable.

Research Engineer

Education: A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.

Experience: Four years of diverse experience in natural language or speech processing or multimodal analytics, handling increasingly more complex and diverse research and development tasks, are required.

OTHER REQUIREMENTS

• Knowledge of UNIX and Windows computing environments.

• Familiarity with UNIX tools, scripting languages, and tools for managing software projects.

• Familiarity with recently developed algorithms, methods and data structures to support the processing of speech, multimodal, and language data.

• A strong practical knowledge of languages such as Perl, Java, Python, and C, and facility with advanced computational algorithms.

• Knowledge of statistics and experience in using machine learning toolkits.

• Excellent verbal and written communication.

Our strength and success are directly linked to the quality and skills of our diverse associates.  A background and/or knowledge of accessibility and accommodations for individuals with disabilities, whether through your own experiences or those of someone close to you, is highly desirable.

ETS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.

Please submit you application at

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=232411&type=&cfcend