Senior NLP Scientist/Engineer

Brilent; San Mateo (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salaries

Stock options

Full benefits including health and dental coverage

Meals included

Snacks

Travel reimbursement

Job summary

Brilent, based in San Mateo, California, is looking for a skilled NLP Engineer to develop advanced document parsing technologies. The ideal candidate will have a strong background in machine learning and programming in Java, C, C++, and Python.

We offer competitive salaries, stock options, and full benefits including health and dental coverage. Join us to transform the hiring landscape with our innovative solutions!

Qualifications

• Extensive experience in NLP processing including POS tagging and semantic analysis.
• Hands-on experience of parsing entities and their relations from text documents.
• Strong programming skills in Java, C, C++, and Python.

Responsibilities

• Develop document/text parsing technologies and build them into Brilent's core recommendation engine.
• Implement, evaluate and deploy advanced parsing and matching algorithms.
• Collaborate with backend engineers and UI/UX designers to define product roadmap.

Skills

NLP processing

Machine learning

Java

C

C++

Python

MySQL

Text processing tools

Education

Master's or PhD degree in linguistics or computational linguistics

Job description

Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements.

Why Us?

Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, Microsoft and HP, and graduates of top-tier universities (University of Waterloo, CMU, University of Michigan, USC, etc.). We are looking for exceptional people to scale our business and build innovative products. Come join the revolution!

Job Description

• Develop document/text parsing technologies and build them into Brilent's core recommendation engine
• Implement, evaluate and deploy advanced parsing and matching algorithms
• Work with backend engineers, and UI/UX designers and engineers to define product roadmap and feature specifications
• Stay current with the latest technological advances in text mining, NLP processing, and machine learning

Qualifications

• Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity recognition, relation extraction, text classification, and discourse analysis
• Working knowledge and hands‑on experience of parsing entities and their relations from text documents/corpus
• Strong machine learning background and experience of using ML techniques in NLP applications
• Strong programming skills in Java, C, C++, Python
• Proficient with relational database (e.g., MySQL) and knowledgeable in non-relational or graph databases
• Familiar with open-source or commercial text processing and/or NLP tools, such as Apache Lucene or Solr, Stanford CoreNLP, NLTK, Apache OpenNLP, or other natural language software packages for Parts of Speech tagging, ambiguity resolution, and syntactic parsing.
• Master's or PhD degree in linguistics or computational linguistics, or related degree in machine learning or Computer science

Additional Information

We offer competitive salaries, stock options, and full benefits, including health and dental coverage, all meals included, snacks, travel reimbursement, etc.