NLP​/Machine Learning Engineer

The technology extracts precise answers to natural language questions from unstructured text – text meant for human consumption. The candidate will be part of a team responsible for the core DeepQA technology at our company. Responsibilities include improving and extending the NLP, knowledge engineering, reasoning and machine learning technology in DeepQA as required by the use cases of interest to the company’s business units.

• Understand and be able to tune and diagnose the existing question answering software.
• Extend the existing technology to cover new use cases.
• Develop brand new NLP, knowledge, reasoning and machine learning technology to improve question answering accuracy and efficiency for the various company use cases.
• Develop processes to turn raw data feeds into updated NLP models in an unsupervised fashion.
• Develop processes to automatically use field data to improve performance.

Qualifications:

• Number of Years of
  
  Work Experience:
• PhD or 5 years relevant experience

Required Skills:

• Significant statistical or symbolic NLP/question answering experience. At least some statistical NLP or machine learning background.
• Strong algorithmic and software (Java) skills. Good problem solving and analytical skills are essential, as is a desire to tackle hard problems and work with large, complex software systems.
• Experience running accuracy experiments and systematically improving performance. Should be able to take initiative, but also follow a plan and work well as part of a team.

Preferred

Skills:

• Both statistical and symbolic natural language processing. Knowledge engineering, reasoning, parsing and machine learning. UIMA, Prolog and C++. Python/Perl, unix.

Education:

• Advanced degree in computer science, computational linguistics or related field. PhD or significant research experience.

All your information will be kept confidential according to EEO guidelines.