NLP/Machine Learning Engineer

Hireup.net; Mountain View (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Hireup.net in Mountain View, California is seeking a specialist in NLP technology to enhance and develop core DeepQA systems. The ideal candidate will have a strong background in both statistical and symbolic natural language processing, solid algorithmic skills in Java, and a PhD or extensive relevant experience.

This role involves tuning existing software, creating new NLP technologies, and improving question answering performance through advanced machine learning techniques and data processing.

Qualifications

• PhD or 5 years of relevant experience in NLP.
• Experience in running accuracy experiments.
• Ability to work with large, complex software systems.

Responsibilities

• Understand and diagnose existing question answering software.
• Extend technology for new use cases.
• Develop new NLP and machine learning technology.
• Create processes to update NLP models.
• Use field data to improve performance.

Skills

Statistical NLP experience

Algorithmic skills (Java)

Analytical skills

Machine learning background

NLP knowledge engineering

Education

PhD or significant research experience

Tools

UIMA

Prolog

C++

Python/Perl

Unix

Job description

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.